Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 30,931 to 30,940 of 220,293 articles

Machine learning-based multi-omic analysis identifies CEP55, DLGAP5, and EZH2 as regulated cell death biomarkers linked to immunotherapy resistance in hepatocellular carcinoma.

Naunyn-Schmiedeberg's archives of pharmacology
Hepatocellular carcinoma (HCC) often exhibits limited responsiveness to immune checkpoint inhibitors (ICIs), largely due to an immunosuppressive tumor microenvironment (TME). Regulated cell death (RCD) pathways, including ferroptosis, necroptosis, an... read more 

Explainable Machine Learning for Efficient Cocrystal Prediction: Leveraging Morgan Fingerprints to Decode Local Structure-Cocrystal Formation Relationships.

The journal of physical chemistry. A
Cocrystallization is a pivotal strategy for optimizing the physicochemical properties of functional molecular materials, yet its development is bottlenecked by time-consuming and labor-intensive experimental screening. While machine learning (ML) has... read more 

Capturing naturalistic thoughts using a precision experience sampling idiographic approach.

Cognitive research: principles and implications
The existing literature on naturalistic thoughts has offered insights into the general patterns of thoughts common across large groups of participants. However, little is known about individual variability in thoughts. One approach to understanding v... read more 

Deep learning-based femoral reconstruction from intraoperative point clouds for enhanced knee arthroplasty registration.

International journal of computer assisted radiology and surgery
PURPOSE: Computer- and robotic-assisted technologies improve total knee arthroplasty (TKA) through intraoperative bone registration. However, limited bone exposure restricts point collection to the distal femur, omitting key geometric features and re... read more