Results 231 to 240 of about 169,850 (334)

Evaluating large language models in biomedical data science challenges through a classroom experiment. [PDF]

Proc Natl Acad Sci U S A
Ma H, BIOSTAT 824 Student Consortium, Ji Z.   +2 more
europepmc   +1 more source

COMPARISON BETWEEN TWO PROGRAMMING LANGUAGES R AND PYTHON

, 2020
openaire   +2 more sources

Interpretable machine learning enables early and accurate detection of drug‐induced liver injury: A multicenter study with real‐world clinical translation

Interdisciplinary Medicine, EarlyView.
This study develops an interpretable gradient‐boosting model that accurately identifies drug‐induced liver injury (DILI) using routine laboratory data. The model explains key clinical features through SHapley Additive exPlanations analysis and detects DILI earlier than expert evaluation, offering a transparent and practical tool for precision ...
Jingyi Ling, Shian Zhang, Jun Lin, Zhengju Xu, Runcheng Xu, Qian Lv, Kaixiang Zhang, Sheng Liu, Jie Guo, Cheng Hua, Yin Jia, Xiaoyu Xu, Kun Qian, Shanrong Liu   +13 more
wiley   +1 more source

Hybrid modelling using simulation and machine learning in healthcare.

Comput Oper Res
Ahmadi A, Fakhimi M, Magnusson C.
europepmc   +1 more source

Comparative Accuracy Assessment of Large Language Models in Cardiothoracic Anesthesia: A Performance Analysis of Claude and ChatGPT-4 on Subspecialty Board-Style Questions. [PDF]

Cureus
Beil J, Aggarwal I, Devarapalli M.
europepmc   +1 more source

CONSTRUCTION OF DATA COLLECTION SYSTEMS BASED ON THE ARDUINO PLATFORM AND THE PYTHON PROGRAMMING LANGUAGE

, 2018
Mihail Pil'cov
openalex   +2 more sources

Artificial intelligence strategies for predicting kinase inhibitor resistance: A comprehensive review of methods, challenges, and future perspectives

Journal of Intelligent Medicine, EarlyView.
Abstract Kinase inhibitors are essential in targeted cancer therapy, yet resistance often emerges through secondary mutations, activation of compensatory signaling pathways, or drug‐efflux mechanisms. Artificial intelligence (AI) provides a workflow‐based strategy rather than a list of unrelated tools for predicting and addressing kinase‐inhibitor ...
Faris Hassan, Mohanad Ali Deifallah, Alaa Zaghloul, Rania Elgohary   +3 more
wiley   +1 more source

FORMIGA: a fleet management framework for sustainable human-robot collaboration in field robotics. [PDF]

Front Robot AI
Yalcinkaya B, Couceiro MS, Soares S, Valente A.   +3 more
europepmc   +1 more source

Perspectives on the Application of Python and AlpLogo Programming Languages

Rovshan Humbataliyev
openalex   +1 more source

Quantitative Confounder Analysis of Electrocardiogram Signals in Cardiac Magnetic Resonance at 1.5, 3 and 7 T—Assessing Standardized Electrode Positions and Sequence Types—Towards Quality Assurance

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background The electrocardiogram (ECG) used for gating in cardiac MRI may be compromised by multiple confounders inside the scanner bore. Purpose To quantify the influence of magnetic field strengths (1.5 T/3 T/7 T), standardized electrode positions, and imaging sequences on ECG signals used for gating. Study Type Prospective.
Richard Hickstein, Stephanie Wiesemann, Darian Viezzer, Denise Kleindienst, Teodora Chitiboi, Bogdan Andrei Gheorghita, Jens Wetzl, Thomas Hadler, Sebastian Dietrich, Sebastian Schmitter, Jeanette Schulz‐Menger   +10 more
wiley   +1 more source