Maintaining Emotional Boundaries as a Parent

Parents often emphasize to children the importance of respecting others’ boundaries — don’t tickle another kid if they say they don’t like it, for example. Don’t kiss someone unless they welcome it. But within the family, we can fail to notice our own difficulty setting and respecting boundaries with our children, especially emotional boundaries.

What are emotional boundaries

Emotional boundaries refer to an individual’s sense of autonomy and ability to control how they think, feel, and engage with others. Those boundaries are crossed either when you try to control someone else’s thoughts or feelings or they try to control yours.   

Difficulty setting your own and respecting others’ emotional boundaries often comes from a place of care and concern. Parents are usually concerned that their child is not going to make safe choices or are trying to protect their child from distressing emotions. But the intrusion can have a negative impact on children’s emotional development as well as parents’ mental health, especially when it’s done repeatedly. Everyone has boundaries, even parents, and it’s important for kids to learn that.  

How parents overstep their child’s emotional boundaries

Parents can inadvertently encroach on their child’s right to their own thoughts and feelings through:

  • Over-involvement in children’s academic and social life: Your child has a whole life outside the home, and it can be anxiety-provoking to trust them to manage their homework, advocate for themselves with teachers, and navigate conflicts with peers. It can alleviate your anxiety to get involved, but that can feel highly intrusive to your child. For example, if your kid feels snubbed by a friend, you might feel the urge to contact that friend’s parent to try to smooth things over. However, over-involvement in these tasks can prevent your kid from developing the skills they need to manage challenging situations successfully and can impact their confidence in their ability to cope independently.
  • Overconcern to protect your child’s safety: Fears that something negative will happen to your child are understandable, but aggressive monitoring can backfire. This can include strict control over the ingredients in your teen’s food, the information they consume online, or what activities they do. This may temporarily alleviate anxiety about the child’s health and safety but it can lead to resentment and rebellion. 
  • Ignoring or rejecting children’s requests for privacy: It is normal for children and adolescents to want more privacy as they mature, from showering alone to keeping a private diary.Unless your child engages in an activity that suggests they are being unsafe, it is important to trust your child and let them decide what to share with you.
  • Sharing private information without the child’s permission: Parents telling anecdotes about their children, much to their kids’ embarrassment, is hardly new. However, that sharing now includes photographs and videos posted on social media that is broadcast far beyond close friends.It is important to include your child in decisions about what information is shared with others (excluding, of course, medical professionals). When in doubt, consider what information you would feel comfortable with them sharing about you.
  • Telling children what is or isn’t acceptable to value, think, or feel: Many parents, in an effort to help their child feel better, say things like, “Don’t worry about that” or “You can’t think that way.” These seemingly innocuous phrases can come across as attempts to control how the child feels. We can forget that kids are real people just like adults. And if they’re mad or upset about something, they want to be able to feel those feelings, not be told that that their feelings are wrong.

How parents fail to set their own emotional boundaries

Letting kids change your own values, thoughts, and feelings can also be unhealthy. Here are some common ways in which parents fail to set their own boundaries:

  • Allowing your child’s thoughts and feelings to influence your own too much:  Your child may act like it will be the end of the world if they don’t get into the right college. If their anxiety becomes your anxiety, then it’s going to be very hard for you to encourage your kid to have fun on the weekend or to go to bed with work left undone. What they need you to do is validate their feelings but challenge those worry thoughts and help them to relax.
  • Implying that your child is responsible for how you feel:  As a parent, your child’s well-being is your priority, and your emotional state is affected by your child’s behavior. But phrases like, “You are making me crazy” or “I cannot cope with one more word from you” unintentionally suggest that the child has control over your feelings. It’s not healthy for children to feel that they are responsible for your well-being.
  • Depending on your child for emotional support: If you’re a parent under stress and you’re not getting support elsewhere, it makes sense that you’re going to vent to a child. It’s not necessarily meant to burden a kid with financial stressors or relationship drama, and the child might be a sympathetic ear. But it blurs the boundaries between the parent role and the kid role, and that often causes difficulties for the kid in accepting parental authority in other domains. If they see themselves as equals in terms of emotional support, then they might think, why can you tell me what to do?
  • Sharing age-inappropriate information: Many children want to be treated as older than they are (at least in certain ways). So they might requestinformation about finances, romantic relationships, or family stressors that are inappropriate for their age. Although it can be tempting to share, it is not helpful long-term. It may alleviate the child’s current anxiety (and stop the nagging), but it will impair their ability to respect boundaries as well as interfere with them just being a kid.
  • Difficulty saying no: If you’re exhausted, the last thing you want is an argument. One way to avoid an argument is to say yes to your kid’s requests to buy a toy, stay up 15 more minutes, or have a different dinner. If you have boundaries around what you will spend, how much sleep you need, or what you will cook, you are still a good parent. Sticking to your limits teaches your child to accept other people’s boundaries without whining or threats. 
  • Allowing your child to treat you unkindly: Many parents allow their children to treat them in ways they would never tolerate from another person. This includes calling the parent mean or profane names, hitting them, or disregarding their needs (for money, sleep, leisure time, etc.).  Allowing this kind of behavior prevents the child from learning how to respect boundaries and tolerate the emotions they experience when they face them.

Factors that contribute to boundary concerns

There are specific circumstances that can make it difficult for a parent to know where the appropriate boundaries are. They include a child’s late development, psychiatric challenges, and history of unsafe choices. For example, a child may have delays in language, executive functioning, or social or emotional skills. These things can make it challenging to determine how involved you need to be in your child’s daily life and how much independence they can handle.

  • Poor risk assessment and impulsivity: Many disorders can impact children’s ability to think clearly, regulate emotionally, and act safely. For example, a teen experiencing a manic episode may overestimate their abilities, underestimate risk, and act impulsively. Or a child with ADHD might hard to control on crowded city streets or in restaurants, so you avoid taking them out or letting them do activities on their own with friends.  
  • Lack of confidence: Anxious children may underestimate their abilities and request continued support past when they are capable of independence. For example, a socially anxious child may ask their parent to order for them at a restaurant or keep track of their homework assignments.  When a parent accommodates these requests, it confirms their belief that they still need help.
  • Executive functioning deficits: Children who struggle with executive functioning may need more scaffolding to complete daily self-care tasks than other kids their age. This can look like parents providing frequent reminders of assignments, events, or even hygiene tasks — as well as cleaning their room for them long past when an child with ADHD should be doing it themselves. Consider how you can scaffold the skills (packing their bookbag!) without doing tasks for them, and gradually remove the supports over time.
  • History of not successfully navigating tasks: A child’s history of poorly handling a responsibility (safe use of technology, completion of homework, brushing their teeth) often reduces parents’ confidence in the child’s abilities and increases their inclination to step in. Although extra supervision and support may be needed initially, it is important to reassess your child’s abilities over time as they can learn and grow if you let them!

How to get better at boundaries

Once you have recognized the challenges in respecting your child’s boundaries and protecting your own, the next step is to figure out what those boundaries are.

  • Identify your boundaries: What things are most important to support your child’s growing independence and sense of autonomy? What boundaries do you need to set to protect your own mental health? Consider what level of involvement you want to have in their academics, friendships, emotion regulation, and appearance and what you want to disclose to them about your own relationship, emotions, or work.  
  • Practice setting these boundaries: It is much easier to set a boundary when you are not forced to make the choice with a child’s puppy dog eyes looking at you. Rehearsing how you will say no, decline to share certain information, or respond to an anxiety-provoking situation can prepare you to respond more effectively and in line with your values in a moment of conflict.
  • Share your reasons for boundaries: Children can be quick to interpret lack of boundaries as “more caring,” but being consistent in language around why boundaries are being set can help prevent this. When setting a boundary, it is helpful to couch it in care. For example, “I care about you enjoying your childhood, so I do not feel comfortable sharing with you about our family’s finances.”

When kids want more independence than you are sure they are ready to handle, identifying steps toward their goal can be effective. Giving them opportunities to show maturity, with success at one step leading to more responsibility, can help you trust your child with greater independence. What can your kids show you that will help you feel confident in their ability to manage their emotions themselves or make well thought-out decisions?

Kids also need to recognize that they sometimes overestimate their own abilities, that there are times they have not assessed risk accurately and still need their parents. It is important to teach your child that you should be alerted if they are experiencing something that is unsafe or concerning (such as a friend talking about suicide or sharing an inappropriate photo). Discussions with your kid can sort out how to work toward new milestones and help everybody feel confident that they have the skills to do it.

Modeling a healthy respect for boundaries will set your child up to establish their own and respect others’ boundaries throughout their life.

Frequently Asked Questions

What are emotional boundaries between parents and children?

Emotional boundaries are the limits that protect each person’s right to their own thoughts, feelings, values, and decisions. In families, healthy boundaries allow children to develop independence while helping parents avoid taking responsibility for emotions or choices that belong to their child.

Why are emotional boundaries important in parenting?

Healthy emotional boundaries support children’s confidence, autonomy, and ability to solve problems on their own. They also protect parents’ well-being by preventing them from becoming overly responsible for their child’s feelings, worries, or decisions.

What are signs a parent is overstepping a child’s emotional boundaries?

Common signs include getting overly involved in a child’s friendships or school life, refusing age-appropriate privacy, sharing personal information without permission, or telling a child what they should think or feel. While these behaviors often come from a place of love and concern, they can undermine a child’s confidence and independence.

How can parents determine appropriate emotional boundaries?

Parents can start by considering where their child is developmentally and what level of support versus independence is appropriate. A good guideline is to provide enough structure to keep children safe while gradually giving them more responsibility and privacy as they demonstrate readiness.

The post Maintaining Emotional Boundaries as a Parent appeared first on Child Mind Institute.

A Mobile Health Platform for Heart Failure Self-Management: Feasibility Study on Patient Engagement, Acceptance, and Potential Health Outcomes

Background: Heart failure is a chronic condition that significantly impacts patients’ quality of life and increases health care burden. Effective self-monitoring and lifestyle modification are essential components of heart failure management and can support improved health outcomes. Mobile health technologies, such as smartphone apps, are increasingly used to assist patients with heart failure in self-management. However, evidence regarding patient engagement, user experience, and the effectiveness of these mobile health tools remains limited and continues to evolve. Objective: This study aimed to explore the feasibility of a mobile health platform, MoTER-HF, which incorporates a smartphone app and a web-based clinical portal to support self-management in patients with heart failure. Methods: The feasibility study used a single-group pretest-posttest mixed methods design. A total of 23 participants diagnosed with heart failure were recruited to use the app and 2 Bluetooth-enabled measurement devices (a blood pressure monitor and a digital weight scale) over a 12-week period. Participants’ engagement and acceptance were assessed using a satisfaction questionnaire, semistructured interviews, and platform usage logs. Potential health and behavioral outcomes were explored using validated instruments administered at baseline and week 12. Results: Most participants found the MoTER-HF app easy to use and aligned with their routine self-monitoring practices. Daily monitoring features such as blood pressure and weight tracking were used frequently. However, features such as symptom tracking and exercise logging were used less often, reflecting individual preferences and perceived relevance. Participants reported improved self-monitoring practices and valued the ability to visualize and track their data, and the reassurance provided through nurses’ oversight in the satisfaction questionnaire and interviews. Changes in health and behavioral outcome measures were not statistically significant, although exploratory changes were observed in the scores of self-care, quality of life, and psychological well-being. Conclusions: The MoTER-HF platform has demonstrated potential in supporting self-management among individuals with heart failure, particularly when it incorporates features that participants find engaging. Further research is needed to better understand the platform’s impact on health outcomes and the implementation challenges, and to involve clinicians in developing a scalable digital model of care.
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Effects of an e-Coach Program on the Knowledge, Attitude, and Practice of Patients Self-administering Their First Insulin Injection: Quasi-Experimental Study

Background: The current level of insulin knowledge, attitudes, and practices of patients self-administering their first insulin injection needs to be improved. There is an emerging need to develop a program for patients self-administering their first insulin injection based on the e-coach model derived from the temporal self-regulation theory. Objective: This study aimed to examine the effectiveness of a temporal self-regulation theory–based e-coach program on the knowledge, attitude, and practice of patients self-administering their first insulin injection. Methods: A quasi-experimental research design was used, and the study adhered to the Transparent Reporting of Evaluations with Nonrandomized Designs statement. The study was developed and evaluated in a level IIIA hospital between May 1 and December 1, 2022, in Suzhou, Jiangsu Province, China. The control group received care as usual. The intervention group received a self-regulation program called the e-coach program: the “COACHING” implementation steps. The insulin attitude scores and insulin knowledge-practice scores were compared using repeated-measures ANOVA. In particular, given that baseline blood glucose monitoring frequency differed significantly between the 2 groups, thereby compromising their comparability, a repeated-measures analysis of covariance (ANCOVA) was performed, with monitoring frequency entered as a covariate. This approach was adopted to enhance the scientific rigor of the findings and reduce potential bias. Results: In total, 86 patients were enrolled; of these, 75 patients were followed up, 40 in the experimental group and 35 in the control group. Repeated-measures ANOVA results revealed statistically significant between-group effects (=47.67, <.001), time effects (=5.02, =.02), and interaction effects (=4.75, =.03) for total insulin knowledge scores in both groups. In both groups, statistically significant between-group effects (=16.04, <.001) and interaction effects (=12.52, <.001) were observed for total insulin attitude scores, but time effects (=2.47, =.11) were not statistically significant. In both groups, statistically significant between-group effects (=0.66, =.004) were observed for total insulin practice scores, but time effects (=1.05, =.35) and interaction effects (=2.82, =.08) were not statistically significant. Conclusions: The e-coach program based on the TST was effective in improving insulin knowledge and insulin attitude but was not proven effective for insulin practice. A longer follow-up study is needed to uncover its long-term benefits on clinical outcomes. Trial Registration: Chinese Clinical Trial Registry ChiCTR2200058895; https://tinyurl.com/mtztdvc4

Macrophage Membrane-Derived Nanoparticles Shows Potential Against Candida Infections

By using tiny particles made from the membranes of human immune cells, scientists from the University of California, San Diego and the University of Missouri have created antifungal nanoparticles that target Candida albicans, a fungus responsible for oral and vaginal yeast infections as well as bloodstream infections. Tests in mice with severe Candida infections show that the macrophage-derived nanoparticles reduced the amount of fungus in major organs, including heart, kidneys, lungs, and spleen. The mice also had improved survival rates. 

Full details are published in Cell Biomaterials in a paper titled “Cell membrane-derived nanotherapeutic for combating Candida albicans infections.” In it, the scientists write that “this bioinspired nanodisc not only disrupts fungal membranes directly but also enhances host immune clearance, achieving potent antifungal activity.” 

Current treatment options for fungal infections are limited and there are growing concerns about drug resistance. Existing medications typically target specific parts of a fungal cell and can lose effectiveness as fungi evolve resistance. The nanoparticles described in the current paper have a more potent strategy. Besides damaging fungal membranes, they also boost the body’s natural immune defenses to better fight infections. 

According to the scientists, each nanodisc measures about 10-20 nanometers, about 1,000 times smaller than a normal macrophage. Their tiny size is an advantage as it allows them to fuse directly with fungal cell membranes and destabilize them, which is harder for full-sized macrophages.

To create the nanodiscs, the scientists isolated the outer membranes of the macrophages and broke up them up into tiny pieces. They then fused them onto disc-shaped nanoparticles made from a biodegradable polymer. Since the nanodiscs are built from macrophage cell membranes, they retain the same receptor proteins that the immune cells use to recognize and attack Candida. This means that the nanodiscs can identify and attach to fungal cells more effectively than those made from other cell types such as red blood cells. 

Once attached, the nanodiscs weaken the fungal cell’s protective outer membrane until tiny openings form. As the membrane breaks down, the cell’s contents leak out while external substances seep in ultimately killing the fungus. Because this treatment strategy physically damages the fungal cell rather than targeting a specific molecule, the developers believe that it may be harder for the fungus to evolve resistance. 

The nanodiscs also provide other countermeasures. They reverse the suppression of antifungal chemicals produced by macrophages during infection, and prevent Candida from forming biofilms that help to shield fungal cells from drugs and the immune system. Testing also revealed that the treatment was effective when administered both before and after infection suggesting that it could also be used as a preventative. 

For their next steps, the scientists will further evaluate the antifungal potency of the nanodiscs against a broader range of pathogenic fungal species.

The post Macrophage Membrane-Derived Nanoparticles Shows Potential Against <i>Candida</i> Infections appeared first on GEN – Genetic Engineering and Biotechnology News.

Predicting Drug Response with Lung Cancer Tumor Replica Platform

Precision oncology has transformed lung cancer care, but its reach remains uneven. Targeted therapies and immunotherapies have improved outcomes for selected patients, yet many people with lung cancer still receive systemic treatment without a reliable way to know whether their tumor will respond.

For most patients, treatment decisions are still guided by tumor type, stage, standard-of-care guidelines, and a limited set of biomarkers. That works for some, but not enough. Lung cancer is biologically heterogeneous, and tumors with similar clinical features can respond very differently to the same drug.

A new study in npj Precision Oncology describes a rapid ex vivo tumor platform designed to address that gap. Instead of relying only on genomic markers, the method tests drug response directly on patient-derived 3D lung tumor replicas generated from routine clinical samples.

Moving from genomic prediction to functional testing

Genomic profiling has become central to lung cancer treatment, especially for patients with actionable alterations such as EGFR mutations. But many tumors do not carry targetable drivers, and even when they do, genomic information does not always predict resistance, chemotherapy response, or sensitivity to combination regimens.

That is where functional precision oncology is gaining attention. The idea is straightforward: take a patient’s tumor cells, grow them in a clinically relevant model, expose them to candidate drugs, and measure whether the tumor responds.

The challenge is making this fast, reliable, and feasible from the small biopsies that are actually available in routine lung cancer care. Many patient-derived organoid approaches require surgical specimens, have low establishment rates, or take longer than the treatment decision window.

The authors frame the problem clearly: “Effective prediction models are needed” to enable more personalized lung cancer care.

Tumor replicas from routine biopsies

The new platform was developed in a prospective multicenter cohort of 129 treatment-naïve lung cancer patients. Researchers generated 3D lung tumor replicas from resection material as well as small diagnostic samples obtained through EUS-FNA and EBUS-TBNA biopsy procedures.

The overall establishment success rate was 65%. Success was highest from surgical resection material, at 100%, and remained strong for EUS-FNA biopsy material, at 82.7%. EBUS-TBNA samples had a lower but still clinically relevant success rate of 47.1%.

This is important because most patients who need systemic treatment do not undergo upfront surgery. A platform intended for real-world treatment selection must work from limited biopsy material, not only from large resection specimens.

The tumor replicas formed compact 3D clusters and retained key features of the original tumor. Histology and immunohistochemistry showed that replicas preserved subtype-specific characteristics of lung adenocarcinoma, lung squamous cell carcinoma, and small cell lung cancer. In selected samples, genetic features such as KRAS mutations were also retained.

Drug results within the treatment decision window

A central strength of the platform is speed. The researchers report that ex vivo drug response results were available within a median of 12 days from biopsy acquisition. In 80.4% of patients, results were generated within two weeks.

That timing matters. A functional drug test has limited clinical value if results arrive after treatment has already started. In this cohort, patients receiving standard systemic therapy began treatment after a median of 21 days, suggesting that the platform could produce results early enough to inform decision-making.

The researchers tested standard lung cancer therapies, including platinum-based chemotherapy backbones and other agents such as etoposide, pemetrexed, paclitaxel, afatinib, and sotorasib. The tumor replicas showed heterogeneous drug responses, mirroring the variability seen clinically.

In patient-derived xenograft models, ex vivo responses were consistent with in vivo treatment responses or expected mutation-drug relationships. For example, tumor replicas harboring EGFR L858R responded to the EGFR inhibitor afatinib, while KRAS G12C-mutant replicas showed sensitivity to sotorasib.

Early clinical validation shows promise

The study also compared ex vivo drug responses with patient outcomes. In stage 3 lung cancer patients treated with chemoradiation, ex vivo chemotherapy sensitivity was significantly associated with overall survival.

In another group of 20 patients treated with platinum-doublet chemotherapy, with or without immunotherapy, the platform showed a sensitivity of 73% and a positive predictive value of 92% for predicting treatment response in the biopsy lesion.

That high positive predictive value is clinically meaningful. It suggests that when the platform classified a tumor as sensitive, the patient was likely to experience clinical benefit. However, the negative predictive value was lower, meaning the test was less reliable at identifying tumors that would not respond.

This distinction matters for clinical use. At this stage, the platform may be better suited to helping identify promising treatment options than to ruling therapies out definitively.

Why this matters for precision lung cancer care

The study signals a broader shift in precision oncology. Molecular testing asks what alterations a tumor carries. Functional testing asks what the tumor actually does when exposed to therapy. Both approaches are valuable, but they answer different questions.

For lung cancer, this could be especially important because chemotherapy remains a backbone of treatment across multiple stages and subtypes. Yet chemotherapy selection is rarely personalized in the same way targeted therapy is. A rapid ex vivo assay could help distinguish patients likely to benefit from a specific chemotherapy combination from those who may need an alternative approach.

The authors describe the platform as following the same concept as an antibiogram: testing patient-specific tumor material to identify effective treatment options before therapy begins.

If validated in larger studies, this type of approach could reduce ineffective treatment, avoid unnecessary toxicity, and support more rational selection of systemic therapies.

Not yet ready for routine care

The results are promising, but still early. The clinical validation cohort was small, and the authors describe the patient-response data as proof-of-concept. Larger prospective trials will be needed to determine whether using the platform to guide treatment improves outcomes compared with standard care.

The system also has biological limitations. The current tumor replicas primarily capture intrinsic tumor cell drug sensitivity. They do not fully reproduce the tumor microenvironment, including immune cells, stromal cells, endothelial cells, or extracellular matrix components. That means the platform may be less suited, in its current form, to predicting responses to therapies where the immune microenvironment is central, such as immune checkpoint inhibitors.

The short-term 72-hour drug readout also cannot capture delayed effects, acquired resistance, or long-term tumor evolution. Future versions may need to incorporate immune co-cultures, repeated sampling at progression, or more complex microenvironmental features.

A step toward faster functional precision oncology

The promise of this platform lies in its practicality. It uses routine biopsy material, produces results quickly, and tests actual drug response rather than inferring sensitivity from biomarkers alone.

As the authors conclude, the platform enables upfront screening of anti-cancer drug responses “within a clinically relevant timeframe of two weeks.”

That is the key translational point. For functional precision oncology to become clinically useful, it must fit the pace and constraints of real cancer care. This study suggests that, at least for lung cancer, rapid patient-derived tumor replicas may bring that goal closer.

The post Predicting Drug Response with Lung Cancer Tumor Replica Platform appeared first on Inside Precision Medicine.

Evidence on Learning Style Preferences Among Clinical Students in Nigeria Using the Visual, Aural, Read/Write, and Kinesthetic Model: Cross-Sectional Study

Background: Understanding how medical students learn is critical for improving teaching strategies in clinical education. Despite the widespread use of learning style frameworks, such as visual, aural, read/write, and kinesthetic (VARK), evidence from sub-Saharan Africa remains limited, and the use of learning style approaches is debated in the literature. In clinical and health sciences education, aligning teaching with learners’ preferences can enhance knowledge retention, procedural competence, and ultimately the quality of patient care. Objective: This study aimed to determine the predominant learning style preferences of clinical students at a Nigerian medical school and to examine how demographic and academic factors influence these preferences, with explicit attention to implications for clinical pedagogy. Methods: A cross-sectional survey was conducted among 200 clinical students (400-600 level) at Niger Delta University between October 2021 and December 2021, using the validated VARK inventory (version 7.8). Descriptive statistics summarized distributions, and the Pearson chi-square tests or Fisher exact tests assessed bivariate associations with sex, age group, and year of study. A multivariable modeling strategy was prespecified but not performed due to the categorical structure of the primary outcomes, sparse cells for some modality categories, and the sample size limitations for multinomial modeling. Results: Of 200 participants (mean age 25.1, SD 3.9 y; n=107, 53.5% male), 105 (52.5%) preferred unimodal learning, and 95 (47.5%) preferred multimodal learning. Kinesthetic (n=121, 60.5%) and auditory (n=110, 55%) were the most common dominant preferences, followed by read/write (n=68, 34%) and visual (n=36, 18%). Visual preference was significantly higher among male participants (χ=4.49; =.03). Read/write preference varied by year of study (=8.29; =.02). No significant associations were found with age. The pedagogical implications for clinical teaching were discussed, including bedside instruction, skills laboratory, simulation, small-group teaching, and audio-visual learning resources. Conclusions: Clinical students in this Nigerian setting predominantly favored kinesthetic and auditory learning, with nearly half reporting multimodal preferences. Medical educators should adopt blended instructional designs that include hands-on, discussion-based, and audio-visual elements to better prepare students for clinical practice. These insights can inform faculty development, curriculum design, and national medical education policies to foster adaptive, learner-centered training that improves clinical competency and readiness for professional service.
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STAT+: Roche ends Huntington’s gene-silencing programs

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ARPA-H has unveiled a $160 million effort to speed bespoke gene-editing therapies for rare diseases into the clinic. Meanwhile, Roche has abandoned two Huntington’s gene-silencing drugs after disappointing data, and drugmakers have stepped in to promote Medicare’s new obesity drug discount program.

I got coffee with my cousin this morning here in SF. Before leaving for his job at an AI behemoth, he said the bone-chilling July gloom is perfect “working weather.” 

Continue to STAT+ to read the full story…

STAT+: Pharmalittle: We’re reading about bigger drug discounts in Germany, drugmakers embracing secrecy, and more

Good morning, everyone. Damian Garde here, filling in for Ed Silverman at Pharmalot’s satellite campus along the East River, where today’s cup of stimulation is filled not with coffee but rather a smoothie of curious color and questionable contents (what exactly is an “adaptogen”?). Anyway it’s Friday, as you’re almost certainly aware, and here are some tidbits to help you through the waning hours of another working week. …

German lawmakers passed a bill that would more than double the discount on branded medicines drugmakers must provide to the government, Reuters reports. The policy, part of an effort to plug a sizable budget gap in the country’s health insurance system, would increase the mandatory rebate from 7% to 15.5%. Industry groups have said the bill, if it clears Germany’s upper chamber, would deter investment and imperil the country’s access to new medicines.

The rapid rise of China’s biotech industry has led some American drug developers to do their work in near total secrecy, the Wall Street Journal observes. U.S. startups are increasingly loath to publish early data, disclose their scientific ambitions, or even publicize which diseases they hope to treat, all in fear that nimble Chinese firms will use that information to whip up competing drugs and beat them to the punch of starting clinical trials.

Continue to STAT+ to read the full story…

<![CDATA[AI is reshaping psychopharmacology—from TRD prediction to digital phenotyping—while exposing data limits, workflow hurdles, and safety risks in suicide tools.]]>