AI Medical Compendium

Strategic forecasting of renewable energy production for sustainable electricity supply: A machine learning approach considering environmental, economic, and oil factors in Türkiye.

PloS one Aug 5, 2025

Providing electricity needs from renewable energy sources is an important issue in the energy policies of countries. Especially changes in energy usage rates make it necessary to use renewable energy resources to be sustainable. The electricity usage... read more

Machine Learning Electricity Environment Renewable Energy Algorithms Forecasting

Leveraging deep learning for the detection of socially desirable tendencies in personnel selection: A proof-of-concept.

PloS one Aug 5, 2025

We propose a deep learning-based method for detecting Socially Desirable Responding (SDR)-the tendency for individuals to distort questionnaire responses to present themselves in a favorable light. Our objective is to showcase that such novel methods... read more

Adult Personnel Selection Male Personality Female Deep Learning Proof of Concept Study Humans Young Adult Surveys and Questionnaires

Predicting Chemotherapy-Induced Peripheral Neuropathy Using Transformer-Based Multimodal Deep Learning.

Research (Washington, D.C.) Aug 5, 2025

Chemotherapy-induced peripheral neuropathy (CIPN) is a common and debilitating adverse effect of cancer treatment that substantially impairs patients' quality of life and may lead to dose reduction or treatment discontinuation. Traditional predictio... read more

Natural language processing for kidney ultrasound analysis: correlating imaging reports with chronic kidney disease diagnosis.

Renal failure Aug 4, 2025

INTRODUCTION: Natural language processing (NLP) has been used to analyze unstructured imaging report data, yet its application in identifying chronic kidney disease (CKD) features from kidney ultrasound reports remains unexplored. read more

Renal Insufficiency, Chronic Natural Language Processing Male Humans Middle Aged Pilot Projects Kidney Aged Female Ultrasonography Logistic Models Adult

Personalized colorectal cancer risk assessment through explainable AI and Gut microbiome profiling.

Gut microbes Aug 4, 2025

The clinical adenoma - carcinoma progression represents a well-established framework for understanding colorectal cancer (CRC) development, although the molecular mechanisms underlying this transition remain only partially understood. Increasing evid... read more

Machine Learning Precision Medicine Female Aged Humans Artificial Intelligence Bacteria Gastrointestinal Microbiome Middle Aged Colorectal Neoplasms RNA, Ribosomal, 16S Adenoma Risk Assessment Male

Integrative transcriptomic analysis reveals oligodendrocyte lineage switching in multiple sclerosis.

Life science alliance Aug 4, 2025

Multiple sclerosis (MS) is a chronic disease of the central nervous system. The occurrence of MS is a phased process while its cause is still unclear. Here, by combining white matter single-nucleus transcriptomic datasets from MS and control samples,... read more

White Matter Cell Lineage Cell Differentiation Multiple Sclerosis Oligodendrocyte Precursor Cells Oligodendroglia Middle Aged Gene Expression Profiling Transcriptome Microglia Humans Animals Male Female Adult

Plant-Derived Bioactive Peptides: Extraction, Isolation, Purification, Pharmacological Activities, Structure-Activity Relationship, and Applications.

Journal of agricultural and food chemistry Aug 4, 2025

Plant-derived bioactive peptides (PDBPs) have become a key research focus owing to their multiple targets and high safety. However, current challenges in this field primarily include the low efficiency of traditional extraction techniques, the comple... read more

Infrared spectroscopy-based zero-shot learning for identifying reaction intermediates in unseen systems.

Proceedings of the National Academy of Sciences of the United States of America Aug 4, 2025

Identifying reaction intermediates is a critical component of elucidating the mechanisms of chemical reactions. Spectroscopic techniques are instrumental in this identification process. The capacity of AI to establish the correlations between spectra... read more

Rapid, interpretable data-driven models of neural dynamics using recurrent mechanistic models.

Proceedings of the National Academy of Sciences of the United States of America Aug 4, 2025

Obtaining predictive models of a neural system is notoriously challenging. Detailed models suffer from excess model complexity and are difficult to fit efficiently. Simplified models must negotiate a tradeoff between tractability, predictive power, a... read more

Neural Networks, Computer Animals Models, Neurological Neurons

Characterizing ssRNA and dsRNA electrophoretic behavior: empirical insights with neural network-aided predictions.

The Analyst Aug 4, 2025

RNA-based therapeutics are currently at the forefront of the biopharmaceutical industry because of their safety, efficacy, and shortened time from disease discovery to therapy development. Microfluidic electrophoresis provides a great analytical plat... read more

RNA Microfluidic Analytical Techniques Humans Electrophoresis RNA, Double-Stranded Neural Networks, Computer

Artificial Intelligence Medical Compendium