Results 91 to 100 of about 455,081 (302)
This study tests NeuroD1 AAV‐based gene therapy in a non‐human primate Alzheimer's disease model. The therapy prevents neuronal damage, inhibits hippocampal atrophy, and reduces neuroinflammation. It also repairs vascular and blood‐brain barrier damage, restores cerebrospinal fluid biomarkers, enhances hippocampal glucose metabolism, and improves ...
Zhouquan Jiang +21 more
wiley +1 more source
Cost and Compensation of Injuries in Medical Malpractice [PDF]
Compensation determinations for victims of medical malpractice were studied. Results showed that for birth-related and emergency room cases of permanent injury in Florida, a claimant receiving much more than economic loss in compensation more nearly ...
Sloan, Frank A., van Wert, Stephen S.
core +1 more source
Plant Genetic Engineering: Technological Pathways, Application Scenarios, and Future Directions
This review maps the fast‐evolving landscape of plant genetic engineering, linking enabling platforms with trait‐focused applications in architecture optimization, stress resilience, yield improvement, and quality enhancement. It highlights how genome editing, transgenic strategies, and emerging multi‐gene approaches reshape breeding pipelines, while ...
Peilin Wang +4 more
wiley +1 more source
Severity as a Priority Setting Criterion: Setting a Challenging Research Agenda [PDF]
Priority setting in health care is ubiquitous and health authorities are increasingly recognising the need for priority setting guidelines to ensure efficient, fair, and equitable resource allocation. While cost-effectiveness concerns
Barra, Mathias +6 more
core +3 more sources
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Objective The study aim was to test the intra-assessor and interassessor reliability of the Healthcare Complaints Analysis Tool (HCAT) for categorising the information in the claim letters in a sample of Danish patient compensation claims.Design, setting
Soren Bie Bogh +5 more
doaj +1 more source
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv +11 more
wiley +1 more source
A Kolmogorov-Smirnov Type Test for Positive Quadrant Dependence [PDF]
We consider a consistent test, that is similar to a Kolmogorov-Smirnov test, of the complete set of restrictions that relate to the copula representation of positive quadrant dependence.
Olivier Scaillet
core
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source

