AI Medical Compendium

Integrative transcriptomics and metabolomics reveal neuroendocrine-lipid crosstalk and adenosine signaling in broiler under heat stress.

BMC genomics Jul 29, 2025

BACKGROUND: Heat stress (HS) is a significant challenge in poultry, negatively impacting feed efficiency and survival. These adaptive responses could lead to disrupted lipid metabolism, impaired immunity, and neural damage. We hypothesized that the n... read more

Animals Gene Expression Profiling Transcriptome Chickens Heat-Shock Response Signal Transduction Metabolomics Lipid Metabolism Adenosine Hypothalamus Neurosecretory Systems

: categorical diffusion ensembles for single-step chemical retrosynthesis.

Journal of cheminformatics Jul 29, 2025

Methods for automatic chemical retrosynthesis have found recent success through the application of models traditionally built for natural language processing, primarily through transformer neural networks. These models have demonstrated significant a... read more

Advances, reception and potential of ChatGPT as a tool for healthcare delivery and research: a systematic review.

Singapore medical journal Jul 29, 2025

ChatGPT gained widespread attention for its capabilities in natural language processing, enabling machines to assess human language inputs and generate complex, yet evolving answers. As large language models (LLMs) continue to develop, clear guidelin... read more

Quantum Chemistry Calculation-Assisted Large-Scale Collision Cross Section Prediction Empowers Derivatization-Enhanced Multidimensional Metabolomics.

Angewandte Chemie (International ed. in English) Jul 29, 2025

Derivatization-enhanced multidimensional metabolomics combined with ion mobility mass spectrometry will greatly improve the accuracy and coverage of metabolic analysis. However, accurate prediction of the large-scale collision cross section (CCS) of ... read more

A Multi-Model Ensemble for Advanced Prediction of Reverse Osmosis Performance in Full-Scale Zero-Liquid Discharge Systems.

Environmental science & technology Jul 29, 2025

The growing reliance on reverse osmosis (RO) in zero liquid discharge (ZLD) and seawater desalination has underscored membrane fouling as a critical challenge, requiring predictive tools for proactive management. This study proposes a novel multidime... read more

Integrated transcriptomic and proteomic analysis identifies FBXW7 as a key regulator of tau homeostasis in Alzheimer's disease.

Journal of Alzheimer's disease : JAD Jul 29, 2025

BackgroundAlzheimer's disease (AD) is a progressive neurodegenerative disorder driven by complex, incompletely understood genetic and pathogenic factors. E3 ubiquitin ligases (E3s), crucial for protein degradation, are implicated in AD, but their spe... read more

Methods and applications of in vivo CRISPR screening.

Nature reviews. Genetics Jul 29, 2025

A fundamental goal in genetics is to understand the connection between genotype and phenotype in health and disease. Genetic screens in which dozens to thousands of genetic elements are perturbed in a pooled fashion offer the opportunity to generate ... read more

Non-invasive breath testing to detect colorectal cancer: protocol for a multicentre, case-control development and validation study (COBRA2 study).

BMC cancer Jul 29, 2025

BACKGROUND: Colorectal cancer (CRC) is the fourth most common cancer in the United Kingdom. The five-year survival rate from CRC is only 10% when discovered at a late stage, but can exceed 90% if diagnosed early. Symptoms related to CRC can be non-sp... read more

Humans Female Colorectal Neoplasms Male Middle Aged Colonoscopy Case-Control Studies Early Detection of Cancer Multicenter Studies as Topic Volatile Organic Compounds Breath Tests

Unravelling the importance of spatial and temporal resolutions in modeling urban air pollution using a machine learning approach.

Scientific reports Jul 29, 2025

Urban air pollution poses a major threat to public health and environmental sustainability. This study proposes a structured machine learning (ML)-based framework to examine how temporal and spatial resolution choices affect the accuracy of urban air... read more

Classifying social and physical pain from multimodal physiological signals using machine learning.