Results 211 to 220 of about 1,303,488 (267)

The Influence of Surgeons' Gender on Surgical Outcomes in Laparoscopic Right Hemicolectomy: A Japanese Nationwide Retrospective Cohort Study

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This study analyzed 58 503 laparoscopic right hemicolectomies for colon cancer in Japan between 2018 and 2022, comparing outcomes between male and female surgeons. No significant differences were found in surgical mortality or severe complications. Tailored surgical training programs for female surgeons may further enhance surgical outcomes.
Akihisa Matsuda   +10 more
wiley   +1 more source

Prognostic and Predictive Role of Lymph Node Count in Stage II Colon Cancer: A Retrospective Analysis of a Japanese Nationwide Cohort

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This study analyzed over 3500 patients with stage II colon cancer treated with D3 lymphadenectomy, to reassess the prognostic value of number of harvested lymph node and their role in predicting benefit from adjuvant chemotherapy using a Japanese nationwide cohort.
Kozo Kataoka   +13 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Epidemiology and Risk Analysis of Malaria among Pregnant Women.

open access: green, 2012
Sunil Dhiman   +5 more
openalex   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

open access: yesAdvanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian   +12 more
wiley   +1 more source

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