Results 181 to 190 of about 353,501 (302)

Comparison of Nationwide Volumes for Five Major Gastrointestinal Surgical Procedures in Japan: Implications From Publicly Available NCD and NDB Open Data

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Aim In Japan, the National Clinical Database (NCD), a clinician‐reported registry, and the National Database of Health Insurance Claims and Specific Health Checkups of Japan Open Data (NDB Open Data), an administrative claims database, are both widely used as nationwide surgical databases, but their consistency in capturing national surgical ...
Atomu Kiriyama   +3 more
wiley   +1 more source

Metastasis Pattern‐Specific Biomarkers and Therapeutic Targets in Gastric Cancer: From Surgical Specimens to Clinical Translation

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Gastric cancer metastasis should be considered according to its anatomical route, because lymphatic, peritoneal, and hematogenous dissemination involve partly distinct molecular mechanisms. This review summarizes metastasis pattern‐associated and pattern‐specific molecules identified using surgical specimens, evaluates their evidence and translational ...
Mitsuro Kanda
wiley   +1 more source

Lumped modeling of bubbling fluidized beds for high‐temperature processes

open access: yesAIChE Journal, EarlyView.
Abstract Bubbling fluidized beds (BFBs) have been a source of study for multiple decades. Among other applications, they can be used as scalable reactors for the conversion of biomass and waste resources to fuels. Several experimental and computational studies have been devoted to correlating the interplay of hydrodynamics and heat and mass transfer in
Ravi Ramesh   +3 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

open access: yesAdvanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin   +4 more
wiley   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang   +5 more
wiley   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

open access: yesAdvanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta   +3 more
wiley   +1 more source

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