AI Medical Compendium

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

Patient and clinician engagement with generative artificial intelligence (GenAI): A scoping review of implications for patient-centered communication.

Patient education and counseling Jan 17, 2026

OBJECTIVE: To examine the influence of the emerging use of generative artificial intelligence (GenAI) within electronic health records and among the public on the patient-centeredness of communication in healthcare. METHOD: In this scoping review, we... read more

Associations of blood cell indices with the severity of rheumatoid arthritis: a retrospective case-control and machine learning modeling study.

Therapeutic advances in musculoskeletal disease Jan 17, 2026

BACKGROUND: Immune cells are involved in rheumatoid arthritis (RA), but the link between other blood cell indices and the disease activity of RA, along with the underlying mechanisms, is unclear. OBJECTIVE: This study aimed to develop an interpretabl... read more

Token-Level Attribution for Transparent Biomedical AI.

Biomedical engineering and computational biology Jan 17, 2026

BACKGROUND: Explainability (xAI) is critical for fostering trust, ensuring safety, and supporting regulatory compliance in healthcare AI systems. Large Language Models (LLMs), with impressive capabilities, operate as "black boxes" with prohibitive co... read more

Artificial Intelligence Medical Compendium