Segmenting Older Adults by Their Acceptance of Digital Health Care Devices: Cross-Sectional Study Using the Augmented Technology Acceptance Model and K-Means Clustering
Background: Population aging has become a critical global challenge, with South Korea entering a super-aged society and facing rapidly increasing health care demands. In response, digital health care devices have emerged as promising tools for supporting personalized health management and improving health care accessibility among older adults. However, despite their potential, adoption rates among older adults remain relatively low. Prior research based on the Technology Acceptance Model (TAM) has largely relied on variable-centered approaches, overlooking substantial heterogeneity in acceptance patterns among older adults. A person-centered segmentation approach is therefore needed to identify diverse acceptance profiles. Few studies have integrated the augmented TAM with K-means clustering to identify acceptance-based segments in this population. Objective: This study aims to segment older adults based on their acceptance patterns toward digital health care devices by integrating the TAM framework with data-driven clustering techniques. Methods: A cross-sectional survey was conducted with 349 adults aged 65 years and older who were recruited from older adult welfare centers and community facilities in the Seoul metropolitan area of South Korea. We measured 10 constructs within an augmented TAM framework: 2 core constructs (perceived usefulness, perceived ease of use), 6 extended constructs (compatibility, privacy, self-efficacy, price consciousness, health empowerment, attitude toward digital health care), 1 health-related construct (health threat susceptibility), and intention to use as the outcome. Principal component analysis (PCA) and K-means clustering were used to identify latent segments. The number of components was determined using parallel analysis and the Kaiser criterion, and the optimal number of clusters was validated using the silhouette coefficient. Robustness was further assessed through 100-seed stability analysis and PCA sensitivity tests. Results: We identified 2 principal components, and a 4-cluster solution was selected (K=4, silhouette coeffficient=0.383). The analysis revealed 4 distinct segments: core adopters (57/349, 16.3%), who scored highest across all constructs; potential adopters (64/349, 18.3%), who recognized the value of digital health care devices but exhibited low self-efficacy and perceived ease of use; neutral majority (159/349, 45.6%), who showed near-average scores; and rejecters (69/349, 19.8%), who scored negatively across all dimensions. Robustness checks confirmed high clustering reliability (94%‐99% agreement). Notably, potential adopters represented a critical target group, as their acceptance barriers stemmed from capability constraints rather than lack of motivation. This group combined high perceived usefulness (+0.50) with the lowest self-efficacy (−1.07) and perceived ease of use (−0.83). Conclusions: This study demonstrated that technology acceptance among older adults is heterogeneous rather than uniform and highlights the importance of segment-specific strategies. By integrating theory-driven acceptance constructs with unsupervised machine learning, the study provides a practical framework for identifying actionable user segments and designing tailored diffusion strategies. These findings offer important implications for policymakers, technology developers, and health care professionals seeking to facilitate inclusive adoption of digital health care technologies in aging societies.
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Peptide-Based mRNA Vaccine Offers New Hope for Neuroblastoma Treatment
In a world’s first, researchers from RCSI University of Medicine and Health Sciences in Dublin, Ireland, have developed an mRNA vaccine for neuroblastoma that has shown promising results in early laboratory testing.
Led by Olga Piskareva, senior lecturer in the RCSI Department of Anatomy and Regenerative Medicine, the study demonstrates the therapeutic potential of the vaccine for treating neuroblastoma and paves the way for further studies.
“We are at the beginning of the mRNA vaccine development journey, but we have successfully completed the first milestone, and we are very proud of it,” Piskareva told Inside Precision Medicine.
Neuroblastoma is an aggressive pediatric solid tumor that accounts for 15% of cancer-related deaths in children. Despite recent advances in treatment options, around 80% of patients with clinically aggressive disease do not show sustained responses, highlighting the need for novel treatments.
Piskareva has worked in neuroblastoma research since 2011 and felt the time was right to develop a vaccine. Her proposal was strongly endorsed in funding calls and supported by the Conor Foley Neuroblastoma Cancer Research Foundation. This support was particularly important to Piskareva as the charity was founded by a family who lost their son after a 14-year battle with neuroblastoma.
Unlike many mRNA vaccines that use lipid nanoparticles to deliver their payload, Piskareva and team instead used self-assembling peptide nanoparticles.
The self-assembling peptide, known as RALA, is composed of a repeating amino acid sequence of arginine (R), alanine (A), leucine (L), and alanine (A) that come together to form stable nanoparticles that protect mRNA encoding glypican 2 (RALA/mGPC2), a potent tumor-associated antigen in neuroblastoma. After entering a cell, the RALA nanoparticles react with the intracellular environment and change their structure, which allows them to deliver the GPC2 mRNA.
Piskareva and co-authors explain in Molecular Therapy Oncology that the RALA technology offers several advantages over more commonly used lipid nanoparticle delivery including high mRNA encapsulation efficiency, straightforward purification, no immune response to RALA itself, no restriction on the size or number of mRNA cargos to be delivered, stability at room temperature, and lower costs.
After initial experiments showing the viability of the vaccine in vitro, the researchers tested its efficacy in mouse models.
They showed that RALA/mGPC2 vaccination generated an antigen-specific cellular immune response against GPC2, with significant increases in interferon-γ and interleukin-2 expression by splenocytes and tumor necrosis factor-α expression by CD4+ and CD8+ T cells.
Investigating tumor control, the team demonstrated that immunization delayed tumor development by 10–11 days and reduced tumor volume by 70% compared with unvaccinated controls in a subcutaneous murine model of neuroblastoma, with the potential further to reduce tumor progression via prolonged administration.
Piskareva noted that as biological ageing in mice does not follow the same pattern as it does in humans, it is fair to assume that a 10–11 day delay in mice would equate to two years in preadolescent humans and one year in adulthood.
“However, the most important clinical message from this number is that there is significant potential to further delay tumor growth by trying a different vaccination schedule or dose, or by co-treating with immune-stimulating drugs,” she remarked.
The vaccine also has the potential to be highly personalized. “We can profile a given patient with neuroblastoma, select its shared and unique targets, design and synthesize mRNA, coat it with peptides, and have a personalized vaccine ready for use,” said Piskareva. “We can also create a pool of the most common targets and have the mRNA vaccine on demand.”
“By developing mRNA for multiple targets, we can increase the vaccine’s ability to help the host’s immune system kill cancer cells. The mRNA vaccine technology is like LEGO bricks. By combining different bricks, we can tailor the vaccine to the individual’s needs with high precision,” she added.
Piskareva and team are now planning further studies to investigate optimal vaccination doses and frequency, and characterize the immune response on a wider scale and in greater detail.
“The move to clinical trials will depend largely on the quality and quantity of data collected in pre-clinical studies. We will closely monitor developments in clinical trials for adult mRNA vaccines, learn from their experience and adopt the best approaches to avoid unnecessary delays,” Piskareva concluded.
The post Peptide-Based mRNA Vaccine Offers New Hope for Neuroblastoma Treatment appeared first on Inside Precision Medicine.
Judge temporarily blocks subpoenas in criminal probe of transgender care at New York hospitals
NEW YORK — A judge temporarily blocked federal prosecutors in Texas from getting access to the medical records of transgender patients treated at New York hospitals on Wednesday, saying they were part of an improper government effort to “demonize and eradicate an entire population of transgender” people.
Judge Katherine Polk Failla ruled a day after hearing oral arguments in Manhattan, calling the government’s pursuit of the most sensitive medical records of a “uniquely vulnerable group” of patients treated over a six-year period to be “most egregious” and unconstitutional.
Catheter-Based OCT Imaging Shows Promise for Noninvasive Endometrial Cancer Diagnosis
A research team at Washington University in St. Louis has developed a catheter-based optical imaging method that could be used as an “optical biopsy” for detecting endometrial cancer and its precancerous lesions. The approach, described in the journal npj Imaging, uses three-dimensional optical coherence tomography (OCT) imaging combined with a machine learning algorithm which examines and analyzes the entire endometrial cavity to identify tissue changes associated with endometrial intraepithelial neoplasia (EIN) and endometrial cancer.
“Current endometrial biopsy practice has an estimated false-negative rate of about 10% (approximately 90% sensitivity), largely due to sampling limitations and interpretive variability,” said senior investigator Quing Zhu, PhD, a professor of engineering at Washington University. “With our three-dimensional OCT imaging system combined with machine learning, we can image the entire endometrial cavity in two to three seconds and may have a potential to achieve higher sensitivity than random biopsy sampling.”
Endometrial cancer is the most common gynecologic malignancy in the United States, with estimated 69,000 cases projected to be diagnosed in 2025. As with most cancers, early detection has a significant impact on treatment outcomes with five-year survival rates between 80% and 90% when it is diagnosed at stage I.
Existing diagnostic tools have limitations that can impact early and accurate diagnosis. For instance, transvaginal ultrasound is ineffective for early EC, while endometrial biopsy has a 10% false-negative rate due to sampling and interpretive variability.” Although hysteroscopy allows direct visualization of the uterine cavity, it does not provide information about subsurface tissue architecture.
In an interview with Inside Precision Medicine, Zhu said the most widely used diagnostic approaches can miss cancers or depend heavily on operator skill. She noted that the low resolution of transvaginal ultrasound limits detection of early disease, while operative hysteroscopy requires cervical dilation and carries procedural risks. Endometrial biopsy, she added, can miss cancers that occupy less than half of the endometrial cavity surface.
The new approach developed by Zhu and team uses OCT, a light-based imaging technology that creates high-resolution cross-sectional images of tissue. This imaging method uses low-coherence interferometry to measure the echo time delay and intensity of backscattered light, producing real-time images of tissue microstructure with micrometer-scale resolution with tissues penetration depths of approximately one to two millimeters.
To create a method to comprehensively image the endometrium the WashU team developed a custom 3.1-millimeter catheter. Zhu said that the catheter rotates within the endometrial cavity at roughly 600 revolutions per minute while being pulled back automatically at a constant speed. Depending on uterine size, a 3- to 5-centimeter segment of the cavity can be imaged in approximately two to three minutes. The resulting volumetric scans provide three-dimensional views of tissue structure and optical properties throughout the cavity. The team then applied computational analysis to identify functional, structural, and radiomic features based on OCT intensity and scattering images.
To test this OCT/machine learning approach, the researchers evaluated the technology on 57 freshly excised hysterectomy specimens representing a range of conditions, including normal endometrium, benign abnormalities, EIN, and endometrial cancer. OCT identified 34 specimens that contained either high-risk precancerous lesions or early-stage cancers.
The OCT images revealed differences among normal endometrium, benign endometrium, high-risk precancerous lesions, and cancers at different stages. This new method attained an exploratory sensitivity of 94% and specificity of 87%. A cross-validated logistic regression classifier produced sensitivity of 91% and specificity of 83%.
“These findings support catheter-based 3D OCT as a promising noninvasive optical biopsy approach to improve detection of endometrial cancer,” the researchers wrote in the abstract.
The work builds on earlier investigations of OCT in endometrial disease. Previous research had shown that OCT could distinguish endometrial pathologies, but in those studies the imaging was slow or limited to two-dimensional analysis. “This study is the first to combine catheter-based 3D OCT imaging with functional, structural and radiomic feature analysis to assess the endometrial cavity,” the researchers wrote.
Researchers believe the technology could improve patient care by reducing dependence on repeated tissue biopsies. In the introduction, they wrote that “a real-time, noninvasive, high-resolution modality for subsurface imaging could improve diagnostic accuracy, reduce unnecessary biopsies, and support fertility-sparing management.” Such a tool could be particularly useful for women undergoing serial monitoring while receiving hormone-based treatment.
The investigators describe the method as an optical biopsy because it provides diagnostic information without requiring removal of tissue. “Unlike traditional tissue biopsy, it does not require painful physical tissue samples,” Zhu told Inside Precision Medicine.
The technology is still in an early stage of development. Zhu said future development will require a forward-viewing catheter to improve imaging of the uterine fundus and developing methods for faster data acquisition.
Zhu is now looking to secure funding and begin studies in patients to establish in vivo feasibility and to eventually move the technology into clinical trials.
The post Catheter-Based OCT Imaging Shows Promise for Noninvasive Endometrial Cancer Diagnosis appeared first on Inside Precision Medicine.
Labcorp Launches Expanded Test for Severe Chemotherapy Side Effects
In step with the trend toward more selective use of chemotherapy, Labcorp has launched an expanded version of its DPYD Genotype test, which helps identify cancer patients at increased risk for severe side effects from fluoropyrimidine-based drugs. The test is now the only offering, from a national laboratory provider, that detects all Tier 1 and Tier 2 DPYD variant alleles recommended to be tested for by the Association for Molecular Pathology.
The DPYD gene encodes the enzyme DPD, which metabolizes more than 80% of 5-FU. Patients with reduced or absent DPD activity can experience serious, potentially life-threatening side effects, including diarrhea, neutropenia, and neurotoxicity when given fluoropyrimidines 5-FU or capecitabine.
Such pharmacogenomic (PGx) testing is used to help identify patients who are at greater risk for adverse drug reactions from certain treatments based on their genetic makeup. Once a chemotherapy regimen is recommended, PGx testing can help guide treatment decisions and reduce the risk of toxicity. DPYD testing is one of the most well-established examples of PGx.
“Pharmacogenomic testing is typically incorporated early in the treatment process, once a chemotherapy plan has been established, to give clinicians information about a patient’s inherited ability to metabolize certain medications or respond to them,” Annette Taylor, PhD, MS, told Inside Precision Medicine. She is associate vice president, strategic director, pharmacogenomics, Labcorp.
Fluoropyrimidines are one of the most widely used chemotherapy agents for colorectal, pancreatic, gastrointestinal, breast, and head and neck cancers. However, up to 9% of cancer patients carry DPYD variants that can negatively affect their ability to break down such drugs. That variant contributes to an estimated 1,300 deaths in the U.S. each year. By identifying the full range of Tier 1 and Tier 2 DPYD variants, the new test helps reduce the risk that vulnerable patients will receive the treatment.
“Advances in pharmacogenomics are reshaping cancer care,” said Marcia Eisenberg, PhD, chief scientific officer at Labcorp. “Our expanded DPYD test identifies patients at risk for severe toxicity before treatment begins, supporting safer, more personalized care.”
The U.S. Food and Drug Administration (FDA) recently updated its product labeling for 5-FU and capecitabine, which includes a Boxed Warning about the risk of severe adverse reactions or death in patients with complete DPD deficiency. The agency also advises testing for DPYD variants before treatment with 5-FU or capecitabine unless immediate treatment is necessary and recommends avoiding use of these drugs in patients with certain homozygous or compound heterozygous DPYD variants associated with complete DPD deficiency.
In addition, recent updates to National Comprehensive Cancer Network (NCCN) guidelines for colon cancer and other relevant indications reference these Boxed Warnings and the recommendation for DPYD testing. Further, Clinical Pharmacogenomics Implementation Consortium (CPIC) guidelines recommend adjusting or avoiding treatment based on a patient’s DPYD metabolizer status as determined by DPYD testing.
“There are other pharmacogenomic tests available beyond DPYD testing that can provide clinically actionable information for certain therapies and treatment settings. Common tests include UGT1A1 genotyping for irinotecan and TPMT/NUDT15 testing for thiopurines,” Taylor said.
Other tests offered by Labcorp include the UGT1A1 Irinotecan Toxicity test, which helps guide chemotherapy with irinotecan, commonly used for metastatic colon and rectal cancer. Labcorp also offers the TPMT and NUDT15 Genotyping test, useful for optimizing therapy with thiopurine drugs (azathioprine, mercaptopurine, and thioguanine).
The post Labcorp Launches Expanded Test for Severe Chemotherapy Side Effects appeared first on Inside Precision Medicine.
Self-Renewing Blood Progenitors Could Expand the Reach of Cancer Cell Therapy
A team of researchers at the University of Southern California has developed a method to expand a key population of blood-forming progenitor cells in the laboratory while preserving their identity and function, overcoming a longstanding barrier in hematology and opening new possibilities for cancer immunotherapy.
The study, published in Cell, describes how investigators generated large numbers of granulocyte-monocyte progenitors (GMPs)—immune precursor cells that give rise to macrophages, monocytes, and neutrophils—using a culture system that enables these cells to self-renew in vitro. The work not only challenges conventional assumptions about hematopoietic progenitor biology but also provides a potentially scalable platform for engineering immune cells designed to attack cancer.
“This is the first time we can pick single progenitor cells and expand them in large quantities without differentiation,” said senior author Qi-Long Ying, PhD, professor of stem cell biology at USC. “They retain the original identity.”
The achievement addresses a problem that has frustrated researchers for decades. Although hematopoietic stem cells and their descendants have been extensively studied, scientists have struggled to maintain specific blood-forming progenitor populations in culture over long periods without the cells differentiating into mature immune cells.
Ying said the project grew out of his laboratory’s experience working with embryonic stem cells, which can be maintained indefinitely in culture. He reasoned that if embryonic stem cells could be expanded long term, similar approaches might eventually be developed for stem and progenitor cells found in bone marrow.
After years of experimentation, the researchers established culture conditions that selectively support GMPs, a progenitor population responsible for generating several innate immune cell types involved in recognizing and destroying abnormal cells.
Challenging a longstanding paradigm
According to co-author Daniel McKim, PhD, one of the most surprising findings was not simply the ability to expand GMPs but the demonstration that these progenitor cells could undergo extensive self-renewal in vitro.
“The prevailing theory has been that hematopoietic progenitors are short-lived intermediate cells that are incapable of self-renewal,” McKim said. “One of the distinctions between hematopoietic stem cells and progenitors is the belief that these cells are not able to self-renew. What we found is that under the right conditions, they can.”
The researchers emphasize that the self-renewal phenomenon occurs in culture. Once transplanted back into animals, the GMPs behave like normal progenitor cells, producing downstream immune populations before eventually becoming depleted.
Still, the ability to generate vast numbers of GMPs in vitro represents a significant technical advance. The investigators report expansion levels approaching eight orders of magnitude while maintaining the cells’ progenitor characteristics.
Building better cell therapies
Beyond the basic biology, the researchers see major implications for cancer immunotherapy.
Current cellular immunotherapies are dominated by CAR T-cell approaches, which have transformed treatment for several blood cancers but have shown more limited success against solid tumors. Investigators have long been interested in developing therapies based on macrophages and other innate immune cells because those cells naturally infiltrate tumors and can reshape the tumor microenvironment.
However, translating those concepts into viable therapies has proven difficult. Mature macrophages and monocytes are challenging to genetically engineer, difficult to manufacture at scale, and often fail to persist after infusion.
The newly expanded GMPs may provide a solution. Because the progenitor cells can be generated in large numbers and genetically modified before transplantation, they offer a renewable source of tumor-fighting immune cells.
“In our body these cells are very rare,” Ying said. “The mature cells cannot grow, and it is very challenging to genetically modify them. Now we have progenitor cells that can be expanded long-term in large quantities, and we can easily genetically modify them. That makes everything possible.”
The team engineered both mouse and human GMPs with chimeric antigen receptors (CARs) and evaluated them in mouse models. Unlike mature macrophages, which often become trapped in organs such as the lungs and liver after infusion, the progenitor cells distributed broadly throughout the body and engrafted within the bone marrow.
Once established, the cells generated populations of macrophages and monocytes capable of infiltrating tumors.
McKim noted that this approach may overcome several limitations that have hindered macrophage-based immunotherapies. “One of the big issues has been that it’s hard to engineer these cells, and when you put them back into the body they don’t get where they need to go,” he said. “The progenitors solve both problems. They’re easy to engineer, and they expand after transplantation.”
Implications for solid tumors
The researchers believe progenitor-derived innate immune therapies may offer advantages in solid tumors, where CAR T-cell approaches have struggled.
Tumors often create highly suppressive microenvironments that limit T-cell activity. Macrophages and related innate immune cells, by contrast, naturally migrate into tumors and can help stimulate broader immune responses.
“Monocytes and macrophages love going into tumors,” McKim said. “They can kill tumor cells themselves, but they can also help generate a natural antitumor immune response by the host.” That capability could prove particularly important in cancers that evade treatment by losing specific target antigens, a common mechanism of resistance to CAR T-cell therapy.
Although the work remains preclinical, the investigators believe the platform could eventually support a wide range of immune-engineering applications beyond cancer.
The post Self-Renewing Blood Progenitors Could Expand the Reach of Cancer Cell Therapy appeared first on Inside Precision Medicine.
Predictive Modeling of Enterovirus Hospital Burden Using Machine Learning and Age-Specific Surveillance Data: Operational Forecasting in Taiwan During the Postpandemic Era
Background: Enterovirus infections cause substantial pediatric morbidity worldwide, with severe cases requiring hospitalization. Accurate forecasting of hospitalization burden supports proactive resource allocation and clinical preparedness. During the postpandemic period (2023‐2024), Taiwan experienced a resurgence of enterovirus activity following COVID-19–related suppression, although at levels below prepandemic baselines, creating unique operational forecasting challenges. Objective: This study aimed to develop and validate random forest models for 1-week-ahead enterovirus hospitalization forecasting using postpandemic surveillance data and to evaluate the impact of epidemiological regime alignment on predictive performance. Methods: We analyzed weekly enterovirus surveillance data from Taiwan’s Centers for Disease Control covering 2023 to 2024, including outpatient, emergency department, and hospitalization counts stratified by five age groups (0‐2, 3‐4, 5‐9, 10‐14, and ≥15 y). Random forest models were trained on data from 2023 week 1 to 2024 week 40 (n=91 wk after lag preprocessing) and validated on a temporally independent test set covering 2024 weeks 41 to 52 (n=11 wk). Feature engineering incorporated age-specific indicators, 1‐ to 4-week temporal lags, seasonal variables, and derived epidemiological ratios. Results: The random forest model achieved strong 1-week-ahead forecasting performance on the test set (²=0.216, root mean square error 23.5 hospitalizations per week, mean absolute percentage error 17.27%). Age-specific outpatient visits among children aged 0 to 2 and 3 to 4 years were the most influential predictors (feature importance=0.0839 and 0.0908, respectively), followed by seasonal week-of-year effects (feature importance=0.0803). The mean absolute error was 17.6 hospitalizations per week, demonstrating practical utility for hospital capacity planning. Test-period hospitalizations averaged 126.5 cases per week, representing a 3.4-fold increase from pandemic suppression levels (28.4 cases per week during 2020‐2022) while remaining 24% below prepandemic baselines (165 cases per week during 2008‐2019). Conclusions: Machine learning models trained on recent postpandemic surveillance data provide useful short-term forecasts of enterovirus hospitalization burden in Taiwan. A mean absolute percentage error of 17.27% represents reasonable accuracy for 1-week-ahead hospital resource planning. Age-specific pediatric outpatient surveillance offers valuable early signals for hospitalization forecasting, supporting the integration of such models into routine public health practice during postpandemic recovery.
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Clinical trial set to test two drugs for fast-growing Ebola outbreak
A clinical trial testing two drugs against the Bundibugyo ebolavirus, which is driving a fast-moving outbreak in Central Africa, is set to begin next week, World Health Organization officials said Wednesday.
The clinical trial — which will test both Gilead Sciences’ antiviral drug remdesivir and MappBio’s monoclonal antibody MBP-134 — will be conducted in the Democratic Republic of the Congo. The trial is designed to test whether either of the therapies is effective against this form of Ebola, and whether using the two in combination would be a more effective way to combat the disease.

