AI Medical Compendium

Identification of lactylation-related biomarkers for diagnosis, prognosis, and treatment responsiveness in triple-negative breast cancer.

World journal of surgical oncology Jan 22, 2026

DeepDBPI: DNA-Binding Protein Identifier Using a Deep Learning Model with Transformed Denoised Features.

Journal of chemical information and modeling Jan 22, 2026

Motivation: DNA-binding proteins (DBPs) play a significant role in the entire biological system. Many DNA-related studies actively investigate to understand whether a protein binds to DNA. Conventionally, wet-lab experiments are conducted to characte... read more

Machine learning-enabled quantification of hepatocellular necrosis in the liver after lethal Marburg and Ebola virus exposures.

The Journal of infectious diseases Jan 22, 2026

The liver is a key target of pathogenic orthomarburgviruses and orthoebolaviruses, with injury common in severe filovirid disease, yet high-resolution histopathologic quantification is lacking. We addressed this by deploying deep learning (DL) models... read more

Machine learning-based prediction of central lymph node metastasis in unifocal papillary thyroid microcarcinoma.

Future oncology (London, England) Jan 22, 2026

OBJECTIVE: This study aims to develop a machine learning (ML) model to predict the risk of central lymph node metastasis (CLNM) in patients with papillary thyroid microcarcinoma (PTMC) using a combination of clinical and ultrasound features. METHODS:... read more

Microneedle-integrated wearable devices for healthcare monitoring.

Lab on a chip Jan 22, 2026

Wearable technologies have emerged as powerful tools for non-invasive healthcare monitoring, enabling continuous detection of biomarkers to support personalized medicine and disease management. However, most biological biomarkers stay inside tissue a... read more

Rapid Single-Cell Phenotypic Antifungal Susceptibility Testing on a SlipChip Enabled by Deep Learning.

Analytical chemistry Jan 22, 2026

Fungal infections cause over 1.5 million deaths annually, yet current antifungal susceptibility testing (AFST) methods require 24-48 h, delaying critical treatment decisions. Here, we present a rapid, label-free, single-cell AFST (sc-AFST) platform t... read more

Artificial intelligence-based software to support mechanical thrombectomy transfer decision in low-volume primary stroke centers: a multicenter, retrospective study.

Neurologia i neurochirurgia polska Jan 22, 2026

INTRODUCTION: To assess the potential benefit of artificial intelligence (AI) based imaging software in supporting mechanical thrombectomy (MT) transfer decisions in patients with acute ischemic stroke (AIS) referred from low-volume primary stroke ce... read more

Synthetic Applicability Domain (SynAD): Navigating Chemical Space for Reliable AI-Driven Reaction Prediction.

Angewandte Chemie (International ed. in English) Jan 22, 2026

Organic synthetic chemistry has undergone a paradigm shift driven by breakthroughs in artificial intelligence (AI). Data-driven methods help accelerate hypothesis evaluation and reduce experimental trial-and-error efforts. However, its practical util... read more

Engineering nanobodies for drug delivery systems in Alzheimer's disease.

Artificial cells, nanomedicine, and biotechnology Jan 22, 2026

Alzheimer's disease (AD) remains a major global health challenge, with current therapies offering only symptomatic relief. A significant constraint in the development of effective treatments is the blood-brain barrier (BBB), as it greatly limits the ... read more

Coriandrum sativum improves prognosis in clear cell renal cell carcinoma by targeting NEK6 to modulate the immune microenvironment: a predictive study based on network pharmacology and multi-omics analysis.