Modeling the cost-effectiveness of introducing donation after controlled circulatory death for heart transplantation in France. [PDF]
Atfeh J +5 more
europepmc +1 more source
AI‐generated anatomical highlighting improved surgeons' recognition of actual ureteral injuries during laparoscopic colorectal surgery, including recognition within predefined injury time‐code windows. No significant overall improvement was observed for pancreatic injury, and incorrect adverse‐event judgments did not increase in no‐injury videos. These
Shunjin Ryu +9 more
wiley +1 more source
Cost-effectiveness of herpes zoster vaccination in patients with rheumatoid arthritis. [PDF]
Hagen G +4 more
europepmc +1 more source
ABSTRACT Inflammatory bowel disease management has undergone a major transformation with the introduction of treat‐to‐target strategies and highly effective biologic and small‐molecule therapies. Although these advances have reduced the overall requirement for surgery, operative intervention remains essential for selected patients with ulcerative ...
Yoshiki Okita +4 more
wiley +1 more source
Model predictive control with inline parameter adaptation for direct crystal growth rate regulation
Abstract In batch cooling crystallization, many interactive factors, including supersaturation, reactor dimensions, and operating conditions, govern crystal growth and significantly influence product properties. Variables such as temperature or refractive index are used as surrogate control variables but have limitations in capturing growth rate ...
Huitian Yu, Jiewen Zhao, Heiko Briesen
wiley +1 more source
Polyvinylbutyral–Polyaniline Nanocomposite for High Microwave Absorption Efficiency
Pritom J. Bora +4 more
doaj +1 more source
Timing of health technology assessment in the United States: An evaluation of ICER reviews over 8 years. [PDF]
Wright AC +3 more
europepmc +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Cost-effectiveness and budget impact of Luspatercept in Thai adults with transfusion-dependent beta-thalassaemia: a multi-state Markov model based on national claims data. [PDF]
Kongpakwattana K +4 more
europepmc +1 more source
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source

