Computer-based tree drawing test in adolescents and adults with depression

ObjectiveTo evaluate the value of the computer-based Tree Drawing Test in the auxiliary diagnosis of depressive disorders and to analyze the differences in the performance of adolescent and adult depression patients in the Tree Drawing Projection Test.MethodsThis study was conducted at Guo Yang County People’s Hospital in Anhui, China, and involved a total of 184 participants: 43 adults with depression, 82 adolescents with depression, and 59 healthy controls. The Tree Drawing Test and scale assessments were administered to patients with depressive disorders (adult group and adolescent group) and a control group. Computer image recognition and calculation techniques were used to analyze the results statistically.ResultsSignificant differences were observed between the adult depression group and the control group in terms of crown area, trunk area, total area, and HDRS scores (p < 0.001). Statistically significant differences were also found between the adult depression group and the adolescent depression group in terms of trunk area (p < 0.01), total area (p < 0.001), HDRS scores (p < 0.001), and HAMA scores (p < 0.01). The crown area (r = -0.261, p < 0.001), trunk area (r = -0.154, p = 0.037), total area (r = -0.285, p < 0.001), and HDRS scores in the Tree Drawing Test were significantly correlated.ConclusionThe computer-based Tree Drawing Test has certain value in the auxiliary diagnosis of depression. Future research should include larger sample sizes and participants from different regions and cultural backgrounds to further validate the generalizability and cultural adaptability of the Tree Drawing Test for depression assessment.

ADOPT model combined with structured health education alleviates the preoperative anxiety of patients undergoing preventive ileostomy

ObjectiveThis study aimed to evaluate the efficacy of the ADOPT (Attitude-Definition-Openmind-Plan-Try it out) model combined with structured health education in alleviating preoperative anxiety in patients undergoing preventive ileostomy for rectal cancer.MethodsThis is a randomized controlled trial. A total of 60 patients scheduled for temporary ileostomy were randomly assigned to either the control group (routine care) or the research group (ADOPT model combined with science popularization interventions). The research group received structured education via a multimedia resource library, including preoperative, intraoperative, and postoperative care guidance, alongside interactive support from a specialized healthcare team. Anxiety levels were assessed with the State-Trait Anxiety Inventory (STAI) at admission and preoperatively.ResultsAt baseline, no significant differences were observed in gender (P = 0.202), age (P = 0.052), or BMI (P = 0.798) between the two groups. Both groups exhibited comparable anxiety levels at admission. However, one hour before surgery, the research group showed significantly lower state anxiety (S-AI) scores and total anxiety scores compared to the control group (20 ± 0.48 vs 23 ± 0.37, p<0.001), while trait anxiety (T-AI) scores remained similar (p<0.05).ConclusionThe integration of the ADOPT model with structured health education effectively reduces preoperative anxiety in ileostomy patients, highlighting its potential as a standardized nursing intervention.

Development and validation of a comprehensive prevention-focused intervention package for problematic digital technology use among youth: a multi-site study protocol

BackgroundProblematic use of digital technology among children, adolescents, and young adults is associated with adverse health, behavioural, interpersonal, social, academic and vocational outcomes. Most existing research focuses on treatment oriented interventions. Prevention focused interventions are limited. This is especially true for the low- and middle-income countries. There is a need for structured prevention approaches that involve youth, parents, and teachers.ObjectivesThis study aims to develop and validate a comprehensive package of prevention-focused interventions targeted at problematic use of digital technology among youth.MethodsThe study will be conducted across six sites in India. It will use a sequential mixed-methods design. Literature review, stakeholder interviews, and expert consensus shall be used for intervention development. This will be guided by established frameworks for complex interventions. Validation will be carried out using a quasi-experimental pre–post design. Quantitative measures will assess changes in knowledge, skills, confidence, and decision-making, as well as feasibility and acceptability. Qualitative methods will be used to assess engagement, delivery quality, and contextual factors.Expected outcomesThe study will lead to a modular prevention-focused intervention package with evidence of feasibility and acceptability. Findings will inform future larger scale implementation and evaluations.ConclusionThis protocol outlines a structured approach to development of a prevention-focused intervention targeted at problematic digital technology use among youth. The focus on prevention, stakeholder involvement, and real-world settings supports relevance for public health practice and policy.Clinical trial registrationhttps://ctri.nic.in/Clinicaltrials/login.php, identifier CTRI2026/03/105278.

Virtual reality-based inhibition training influences food-related responses: no additional effects of repetitive transcranial magnetic stimulation

Combining cognitive inhibition training with brain stimulation techniques has received increasing attention as a potential approach to modulating maladaptive food craving and food intake. Building on previous work in this line of research, the current study examined whether virtual reality (VR)-based no-go inhibition training paired with repetitive transcranial magnetic stimulation (rTMS) modulates implicit food-related attitudes, craving and food-choice behaviors. Healthy women with high trait food cravings and a preference for high-calorie foods were assigned to one of four groups in a 2 (rTMS: active vs. sham) × 2 (training: no-go vs. neutral) between-subjects design. High-frequency rTMS was applied over the left dorsolateral prefrontal cortex (DLPFC), and no-go training was implemented in a VR environment using food stimuli tailored to participants’ self-reported preferences. Implicit attitudes and food craving were assessed before and after the intervention, while food choice was measured post-intervention only. Following training, the no-go group showed reduced positive implicit attitudes toward high-calorie foods and increased craving for low-calorie foods compared to pre-training levels, whereas no such changes were observed in the neutral group. Moreover, compared to the neutral group, the no-go group made healthier food choices. No-go training effects on food choice were more pronounced among individuals with low-to-moderate baseline preferences for high-calorie foods. In contrast, no significant main effects or additive effects of rTMS were observed. The present study demonstrates that VR-based no-go training can effectively regulate food-related responses and extends earlier work by demonstrating robust inhibition training effects across implicit and explicit measures, while highlighting the importance of considering individual differences in future research.

Why we left the FDA: Six former officials share their stories

A year after U.S. DOGE Service cuts shook up the federal government, STAT’s FDA reporter Lizzy Lawrence has been speaking with former officials about their time at the agency. Two weeks ago, I hit the road with Lizzy to interview six of them about what drew them to the agency, the important work they did during their career there, and, ultimately, why they decided to leave during the second Trump administration. 

In a special road-trip edition of STATus Report, Lizzy and I travel around the leafy suburbs of Washington to bring you first-person testimonies, including the former director of the FDA’s Center for Drug Evaluation and Research, Richard Pazdur; Sheryl Lard-Whiteford, a leader in the FDA’s biologics center; and Julie Tierney, who worked on Operation Warp Speed.

Multimodal Prehabilitation and Rehabilitation for Men Undergoing Robot-Assisted Radical Prostatectomy

Conditions: Erectile Dysfunction Following Radical Prostatectomy; Prostate Cancer; Urinary Incontinence Following Surgical Procedure

Interventions: Drug: Tadalafil 5 mg; Behavioral: Pelvic Floor Muscle Training (PFMT); Behavioral: Aerobic Exercise Program; Behavioral: Nutritional Recommendations; Behavioral: Psychological and Wellbeing Strategies; Behavioral: Standard Perioperative Care

Sponsors: Surgical Outcomes Research Centre (SOuRCe); Generic Health; National Health and Medical Research Council, Australia; Sydney Local Health District

Not yet recruiting

Macrophages Use Cell Volume Changes to Sense Danger and Amplify Inflammation

Macrophages are often described as the immune system’s first responders, but new work suggests they are also remarkably attuned to the physical state of their environment. A study published in the Journal of Cell Biology titled “Disruption of macrophage cell volume drives inflammatory responses and type I interferon signaling” reveals that shifts in cell volume act as a previously underappreciated danger signal—one that can rewire macrophage gene expression, heighten antiviral defenses, and intensify inflammatory responses.

The research, led by Jack Green, PhD, and colleagues at the University of Manchester, centers on the Volume‑Regulated Anion Channel (VRAC), a protein complex that helps cells maintain osmotic balance. When VRAC is missing, macrophages lose the ability to correct swelling under hypo‑osmotic stress. “Cell volume disruption induced type I interferon signaling through a DNA- and TBK1-dependent mechanism, but independent of cGAS and 2′3′-cGAMP transport,” the authors wrote. That loss of control, the team found, is far more consequential than a simple biophysical hiccup. It fundamentally alters how macrophages interpret threats.

Green noted that although earlier studies hinted at a connection between cell volume and inflammatory signaling, the underlying biology remained murky. “Despite the reported indications that cell volume and VRAC are involved in inflammatory signaling, the basic biological mechanisms of how the regulation of cell volume shapes inflammation were unknown,” he said. To probe that gap, the team examined VRAC‑deficient macrophages exposed to mild osmotic stress.

The swelling triggered broad reprogramming of gene expression, including the induction of antiviral and proinflammatory pathways. Many of the most strongly upregulated genes belonged to type I interferon signaling cascades or nucleic acid–sensing systems. First author James Cook frames the finding succinctly: “Together, these findings suggest that cell volume acts as an additional layer of danger sensing in macrophages that shapes and tunes the nature of immune responses to pathogens.”

That prediction held up in functional assays. When challenged with Influenza A virus, VRAC‑deficient macrophages mounted a more potent antiviral response than their wild‑type counterparts. The heightened sensitivity extended beyond viral infection. In mouse models of systemic hyperinflammation, animals lacking VRAC showed elevated levels of a key inflammatory mediator, indicating that dysregulated cell volume can exacerbate cytokine‑driven pathology in vivo.

Rather than responding solely to biochemical cues, these cells appear to fold physical perturbations—such as osmotic imbalance—into their danger‑sensing logic. Green argued that this perspective may help explain why inflammatory diseases can escalate unpredictably when tissue conditions shift. “Understanding disruptions in the tissue microenvironment leading to alterations in cell volume is therefore an important consideration in our understanding of inflammation and disease pathogenesis,” he concluded, adding that “future studies will reveal the potential for regulating VRAC‑dependent cell volume changes in macrophages in disease.”

The post Macrophages Use Cell Volume Changes to Sense Danger and Amplify Inflammation appeared first on GEN – Genetic Engineering and Biotechnology News.

Fraudulent citations, blamed on AI hallucinations, are becoming more common in research papers

Citations in academic papers are intended to ground research in the work that preceded it, over time creating something of a family tree explaining the roots of ideas, protocols, and studies. 

But a growing number of these citations lead to dead ends. “Fabricated” citations that do not reference real papers are spreading in the literature, polluting the public record of science, a new study published Thursday in the Lancet shows. Tools using generative AI are likely to blame, say the Columbia University researchers who authored the paper.

Read the rest…

Barriers and Facilitators in the Implementation of the Systematic Medical Appraisal, Referral, and Treatment (SMART) Mental Health Digital Intervention in Rural India: Mixed Methods Process Evaluation Study

<strong>Background:</strong> An estimated 150 million people have mental health care needs in India, but only 15% are able to access care. Depression and anxiety contribute to a large proportion of mental morbidity. The Systematic Medical Appraisal, Referral, and Treatment (SMART) Mental Health trial used a mobile-based clinical decision support system for primary care doctors and community health workers (CHWs) to identify and treat people at risk of depression, anxiety disorders, and self-harm. A community-based antistigma campaign was also delivered. The intervention led to improved remission rates for depression and anxiety and lower stigma scores. <strong>Objective:</strong> A process evaluation assessed (1) implementation fidelity, barriers, and facilitators; (2) perceptions of doctors and CHWs on the use of SMART Mental Health; and (3) the causal pathways that led to trial outcomes. <strong>Methods:</strong> A mixed methods evaluation combining backend program data and qualitative data was conducted. A total of 38 focus group discussions and 37 key informant interviews were conducted with primary doctors, CHWs, government officials, local community leaders, and research project staff. The data were coded and analyzed using a framework analysis approach based on the UK Medical Research Council guidance on process evaluations and the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework. <strong>Results:</strong> The intervention had high implementation fidelity. Across clusters, the median proportion of participants with at least 1 CHW follow-up was 98% (IQR 96.6%-100%). The referral rate for a psychiatrist was low (224/1697, 13.2%), and only 23.6% (53/224) of those referred visited the psychiatrist. The median exposure to antistigma audiovisual content was 84% (IQR 65.7%-95.9%). At the community level, key implementation barriers included cultural inhibitions in seeking mental health care and the unavailability of patients due to competing demands. Proximity and tight social connections between CHWs and their communities were important facilitators in seeking medical help. Doctor and CHW training, mentoring, and feedback provided by program staff were important facilitators to support the use of the digital health components by the health workforce. <strong>Conclusions:</strong> A complex intervention that included both community-based antistigma and clinical digital health interventions achieved high implementation fidelity. Key areas to consider for maintenance of such interventions include (1) the need for sustained community-based strategies to address stigma and other cultural barriers; (2) health workforce strengthening policies, including supportive supervision for CHWs and doctors to increase capability in the use of mental health digital health tools; and (3) strategies to improve access to specialist care for those with more complex care needs. <strong>Trial Registration:</strong> Clinical Trial Registry India CTRI/2018/08/015355; https://tinyurl.com/5r63suxp

From Sequence to Patient in Under 12 Months: A Case Study in Advancing Complex Cancer Immunotherapies



Image of Joseph Shultz

Joseph Shultz

Vice President of Technical Development and Manufacturing
Ottimo Pharma

Panelist

Image of Joseph Shultz

Joseph Shultz

Joseph Shultz is the vice president of technical development and manufacturing at Ottimo Pharma. His more than 30 years in the industry span development, manufacturing, quality, and technology development. He has held influential positions at Amgen, Novartis Pharma, the Battelle Memorial Institute, Evelo Biosciences, and Resilience. He initiated the technologies and led the strategies that resulted in next-generation biomanufacturing plants at both Amgen and Novartis.



Image of Imroz Ghangas

Imroz Ghangas

Vice President of Commercial Sales
Asimov

Panelist

Image of Imroz Ghangas

Imroz Ghangas

Imroz Ghangas and his team drive partnerships to advance Asimov’s genetic design platform and AI capabilities. With over 25 years in biotech, Imroz has evolved from process development scientist to commercial leader, bridging technical innovation with scalable solutions. His expertise spans bioprocess development and platform integration, with deep knowledge of biomanufacturing workflows from gene to drug product. He leverages his technical foundation to accelerate the adoption of next-generation bioprocessing technologies.



Broadcast Date: 

  • Time: 

Complex biologics such as bifunctional antibodies are opening new therapeutic possibilities in oncology, but these molecules present significant challenges for manufacturing teams. Non-standard architectures can often translate to low expression and difficult developability, making cell line development a critical bottleneck between a promising sequence and a viable clinical candidate.

In this GEN webinar, Joseph Shultz (vice president of technical development and manufacturing, Ottimo Pharma) and Imroz Ghangas (vice president of commercial sales, Asimov) discuss strategies for achieving high-performing clonal titers and advancing a dual-paratopic cancer immunotherapy from sequence to dosed patient in under a year. Attendees will learn about the unique attributes of Ottimo’s molecule and how a specialist partnership with Asimov accelerated the program. The presenters will also introduce the CHO Edge System, which combines Asimov’s proprietary GS knock-out CHO host, hyperactive transposase, library of characterized genetic elements, and AI-driven genetic design tools to routinely deliver clonal titers of 8-12 g/L.

A live Q&A session will follow the presentation offering you a chance to pose questions to our expert panelists.

Produced with support from:

asimov logo

The post From Sequence to Patient in Under 12 Months: A Case Study in Advancing Complex Cancer Immunotherapies appeared first on GEN – Genetic Engineering and Biotechnology News.