Results 151 to 160 of about 47,988 (269)

Surgical Resection for Colorectal Liver Metastasis in Elderly Patients Aged ≥ 80: A Retrospective Nationwide Cohort Survey in Japan With Propensity Score Matching

Annals of Gastroenterological Surgery, EarlyView.
Surgical resection for CRLM seems to be as effective in elderly patients aged ≥ 80 as in nonelderly patients. However, elderly patients aged ≥ 80 had significantly worse cancer‐specific survival (CSS) and overall survival (OS). The significantly worse CSS and OS may have resulted from a lower rate of treatment for recurrence in elderly patients aged ...
Kiichi Sugimoto, Akio Saiura, Shuko Nojiri, Hirotoshi Kobayashi, Goro Honda, Kazushige Kawai, Kiyoshi Hasegawa, Keiichi Takahashi   +7 more
wiley   +1 more source

Cognitive signatures of conditional reasoning dysfunction in major depression. [PDF]

World J Psychiatry
Yöyen E.
europepmc   +1 more source

Systematic Review and Meta‐Analysis on the Efficacy and Safety of Salvage Esophagectomy for T4 Esophageal Squamous Cell Carcinoma

Annals of Gastroenterological Surgery, EarlyView.
This meta‐analysis of 208 cases shows that salvage esophagectomy for cT4 esophageal squamous cell carcinoma achieves a 72% R0 resection rate, offering a curative pathway for selected patients. However, it remains a high‐risk procedure with an 18% anastomotic leak rate and 30% major complications (Clavien–Dindo ≥ III).
Makoto Sakai, Kengo Kuriyama, Kazue Nagai, Ken Shirabe, Hiroshi Saeki   +4 more
wiley   +1 more source

Large language models for risk-of-bias assessment in randomised clinical trials-a comparative validation study. [PDF]

EBioMedicine
Nyrhi L, Ponkilainen V, Laaksonen J, Kuikka L, Paljakka L, Karjalainen T, Mattila VM, Kuitunen I.   +7 more
europepmc   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Strategies for remediating clinical reasoning skill deficits in underperforming residents: a scoping review. [PDF]

J Educ Eval Health Prof
Swatan JP, Ummah FC, Chandra CF, Adnan N.   +3 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Toward a science of human-AI teaming for decision making: A complementarity framework. [PDF]

PNAS Nexus
Gonzalez C, Donahue K, Goldstein DG, Heidari H, Jalali MS, Schelble B, Singh A, Woolley AW.   +7 more
europepmc   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

molIEreVIS: exploring and interpreting the evidence behind drug repurposing predictions. [PDF]

Front Bioinform
Alnouri A, Hinterreiter A, Steinparz C, Bajraktari L, Burgstaller-Muehlbacher S, Bauer M, Alanis-Lobato G, Streit M.   +7 more
europepmc   +1 more source