AI Medical Compendium

Machine learning predictions of IgG1 and IgG4 self-association and high-concentration solution properties.

mAbs May 8, 2026

To meet the widespread demand for subcutaneous delivery of antibody therapeutics, candidates with low viscosity, high solubility, and/or low aggregation propensity in concentrated formulations must be identified. Moreover, early identification of can... read more

TransGAT-DTI: Transformer and Graph Attention Network for Drug-Target Interaction Prediction.

Journal of computational biology : a journal of computational molecular cell biology May 8, 2026

Drug-target interaction (DTI) prediction is of great practical value for discovering, developing, and repurposing drugs, which has tremendous advantages to pharmaceutical industries and patients. However, the prediction of DTIs using wet-lab experime... read more

Beyond the Mean: A Machine Learning-Based Trend Analysis of CGM Metrics for Improved HbA1C Estimation in Type 2 Diabetes.

Journal of diabetes science and technology May 8, 2026

BACKGROUND: Hemoglobin A1C (HbA1C) is the gold standard for assessing long-term glycemic control in people with diabetes. Increasing use of continuous glucose monitoring (CGM) has led to adoption of the glucose management indicator (GMI) as a CGM‑bas... read more

How to Train a Shallow Ensemble.

Journal of chemical theory and computation May 8, 2026

Shallow ensembles provide a convenient strategy for uncertainty quantification in machine-learning interatomic potentials, which is computationally efficient because the different ensemble members share a large part of the model weights. In this work... read more

DS2PT: A Deep Two-Stage Patent Text Segmentation Framework Informed by Low-Latency Neural Network Characteristics.

Big data May 8, 2026

Patent text segmentation is a fundamental task in patent data mining, enabling applications such as patent analysis and search. The objective is to decompose structurally complex, lengthy sentences into grammatically complete, semantically equivalent... read more

Ventral hernia repair in emergency settings. A machine learning model to predict post-operative complications.

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy May 8, 2026

BACKGROUND: Emergency ventral hernia repair remains a challenging procedure due to patient instability, contaminated surgical fields, and heterogeneity in hernia types and operative techniques. Predicting postoperative complications in this setting i... read more

What Was the Incremental Value of the AI Model in Elderly Inguinal Hernia Risk Assessment?

World journal of surgery May 8, 2026

Identifying factors influencing acceptance of artificial intelligence among general practitioners in Danish general practice: a cross-sectional web-based survey study.

Scandinavian journal of primary health care May 8, 2026

BACKGROUND: Despite rapid advances in artificial intelligence (AI), its adoption in Danish general practice remains limited and decentralized, relying on individual general practitioners' (GPs') decisions. This study aimed to evaluate Danish GPs' acc... read more

Establishing a Sustainable Artificial Intelligence Infrastructure for Health Care Systems Part II: Consideration of Key Regulatory and Bioethical Barriers to Implementation.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association May 8, 2026

Establishing an artificial intelligence (AI) infrastructure is contingent upon processes being conducted within structured regulatory frameworks that adhere to existing best practices. Institutional policies should include the development of an AI go... read more

AI-Driven Mapping of Seizure Spread Patterns.

Annals of neurology May 8, 2026

OBJECTIVE: The focus of epilepsy research has largely been on seizure onset; however, physicians typically examine the patterns of seizure spread past seizure onset as well. This study aims to align automated seizure analysis with clinical practice, ... read more

Artificial Intelligence Medical Compendium