Results 131 to 140 of about 4,951,805 (294)

Machine Learning of Temperature‐Dependent Chemical Kinetics Using Parallel Droplet Microreactors

Advanced Science, EarlyView.
An integrated droplet microfluidics and machine learning framework enables high‐throughput characterization of temperature‐dependent reaction kinetics. Time‐resolved measurements from thousands of droplets train Neural ODE models that accurately predict nonlinear reaction dynamics across diverse thermal environments, bridging large‐scale ...
Mamoru Saita, Yutaka Hori
wiley   +1 more source

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

Advanced Science, EarlyView.
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley   +1 more source

Semi‐Transparent Organic Photodiodes with Near‐Infrared Detection Fabricated by Inkjet Printing

Advanced Electronic Materials, EarlyView.
This work shows the inkjet printing of semi‐transparent and opaque organic photodiodes that enable light detection in the near‐infrared regime. Their transparency and high detection speed make them ideal for applications in soft robotics, wearable devices, and light communication systems.
Luis Arturo Ruiz‐Preciado, Peter Krebsbach, Mervin Seiberlich, Gerardo Hernandez‐Sosa   +3 more
wiley   +1 more source

Characteristics of Anal Fistula Cancer in Patients Who Underwent Surgery: A Nationwide Observational Study Using Diagnosis Procedure Combination Data

Annals of Gastroenterological Surgery, EarlyView.
The characteristics of patients with anal fistula cancer included a higher proportion of men, younger age, more smokers, and tumor‐related characteristics, including more advanced local progression. Surgical characteristics included a lower rate of minimally invasive surgery, a higher proportion of total pelvic exenterations, and longer postoperative ...
Nobuaki Hoshino, Hiromitsu Kinoshita, Kazutaka Obama, Kiyohide Fushimi, Susumu Kunisawa, Yuichi Imanaka   +5 more
wiley   +1 more source

Review of the 2023 Korean Society of Medical Informatics Summer Camp on SNOMED CT. [PDF]

Healthc Inform Res, 2023
Park HA.
europepmc   +1 more source

Transforming healthcare and education: The impact of deep learning in medical informatics and training

Adıyaman Üniversitesi Sağlık Bilimleri Dergisi
Artificial intelligence (AI) and deep learning have quickly developed for image-based diagnostics, disease prediction and clinical decision support. Medical informatics/education in medicine have been huge changes caused by these technologies. To analyze
Emek Güldoğan, Cemil Çolak
doaj   +1 more source

Return‐To‐Work and Working Status After Surgery for Gastric and Esophageal Cancer: A Prospective Observational Study

Annals of Gastroenterological Surgery, EarlyView.
In this multicenter prospective study of 158 working‐age patients undergoing curative‐intent surgery for gastric or esophageal cancer, 78.5% were working at 18 months. Postoperative appetite loss, financial difficulties, and ≥ 10% weight loss at 6 months were associated with non‐working status.
Kentaro Goto, Shigeo Hisamori, Kohei Ueno, Hiroyasu Abe, Ryosuke Okamura, Hisahiro Hosogi, Yoshito Yamashita, Dai Manaka, Hiroaki Hata, Tatsuto Nishigori, Sanae Nakajima, Michihiro Yamamoto, Koichi Kinoshita, Shintaro Okumura, Masazumi Sakaguchi, Shigeru Tsunoda, Yu Sakagami, Koya Hida, Kazutaka Obama   +18 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

OXidative Stress PREDictor: A Supervised Learning Approach for Annotating Cellular Oxidative Stress States in Inflammatory Cells

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley   +1 more source

From silos to synergy: integrating academic health informatics with operational IT for healthcare transformation

npj Digital Medicine
We have entered a new age of health informatics—applied health informatics—where digital health innovation cannot be pursued without considering operational needs.
Devin M. Mann, Elizabeth R. Stevens, Paul Testa, Nader Mherabi   +3 more
doaj   +1 more source