AI Medical Compendium

Predicting functional results of percutaneous coronary intervention using machine learning modelling.

International journal of cardiology Jan 17, 2026

BACKGROUND: Post-percutaneous coronary intervention (PCI) Murray's law-based quantitative flow ratio (μFR) is associated with long-term clinical outcomes. A tool capable of accurately predicting post-PCI μFR before intervention could support procedur... read more

Compact Fluorescence Sensor with Silicon Photomultiplier and Neural Network Enhancement for Real-Time Total Organic Carbon Monitoring in Water.

Environmental research Jan 17, 2026

Real-time monitoring of total organic carbon (TOC) is essential for assessing water quality, optimizing treatment processes, and safeguarding aquatic ecosystems. This study reports the development of a compact LED-SiPM fluorescence sensor, integrated... read more

[Computerized intrapartum cardiotocography: current evidence, controversies, and future directions].

Gynecologie, obstetrique, fertilite & senologie Jan 17, 2026

Cardiotocography (CTG) is defined as the simultaneous recording of fetal heart rate and uterine contractions. It is used worldwide during labour to assess foetal well-being and to detect early signs of hypoxia. However, its interpretation relies main... read more

Gene Modification: Exploring the potential in treating kidney diseases.

Pharmacological research Jan 17, 2026

Chronic kidney disease (CKD) is a leading cause of death worldwide. Currently available drugs slow but do not cure or prevent progression to end-stage kidney disease. Unfortunately, dialysis and kidney transplant not only pose severe lifestyle constr... read more

Lessons from the TREC Plain Language Adaptation of Biomedical Abstracts (PLABA) track.

Journal of biomedical informatics Jan 17, 2026

OBJECTIVE: Recent advances in language models have shown potential to adapt professional-facing biomedical literature to plain language, making it accessible to patients and caregivers. However, their unpredictability and high potential for harm in t... read more

Accelerating dataset generation for machine learning using large language models: a pharmaceutical additive manufacturing case.

International journal of pharmaceutics Jan 17, 2026

Creating high-quality datasets for training machine learning models in specialized domains like pharmaceutical research is often constrained by the manual effort required to extract and compute critical parameters from heterogeneous literature. A nov... read more

Deep learning-guided engineering of pectinase for enhanced catalytic performance in tobacco processing.

Bioresource technology Jan 17, 2026

Deep learning is revolutionizing enzyme engineering through efficient residue redesign. Leveraging deep learning for enzyme engineering, we redesigned a pectinase using ProteinMPNN guided by multiple sequence alignment. Our top-performing variant, DS... read more

The Siren Song of the Chatbot: Persuasive Hallucinations and Automation Bias in OMI Detection.

Resuscitation Jan 17, 2026

scPlantAnnotate: an accurate and robust transformer-based model for plant cell type annotation.

Journal of advanced research Jan 17, 2026

INTRODUCTION: Accurate cell type annotation remains a major bottleneck in plant single-cell RNA sequencing (scRNA-seq), where existing tools are often adapted from animal studies and perform sub-optimally on plant data. The lack of plant-specific com... read more

Deep learning for depression prediction in older adults: A retrospective cohort study from CHARLS (2011-2020) with independent cohort validation in CLHLS (2008-2018).

Journal of affective disorders Jan 17, 2026

BACKGROUND: Geriatric depression is highly prevalent yet under-recognized, severely affecting older adults' quality of life and social functioning. There is an urgent need for individualized early prediction tools. While deep learning (DL) holds pote... read more

Artificial Intelligence Medical Compendium