AI Medical Compendium

Integrated machine learning algorithms for prediction of prognosis in ovarian cancer patients based on mitochondrial-related genes.

Computer methods in biomechanics and biomedical engineering Apr 15, 2026

Mitochondrial dysfunction drives ovarian cancer (OC) progression. This study constructed a robust prognostic model (MITO-OC) based on mitochondria-related genes using ten machine-learning algorithms on TCGA, ICGC, and GEO data. We identified 241 diff... read more

Artificial Intelligence in Cardiovascular Disease Prevention: Current Applications and Future Perspectives.

Anatolian journal of cardiology Apr 15, 2026

Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality worldwide, emphasizing the ongoing need for effective and scalable primary and secondary prevention strategies. In this evolving landscape, artificial intelligence (AI... read more

Neural Reconstruction in Disorders of Consciousness: Prospects and Emerging Challenges.

The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry Apr 15, 2026

Reconstructing mental experience from brain activity is becoming increasingly feasible through advances in neuroimaging and deep learning. Neural signals have been translated into images, text, and speech and have been applied clinically to restore c... read more

Deep Learning-Enhanced DNAzyme-Driven Rolling-Circle Amplification Encoding for Multibacterial Detection.

Angewandte Chemie (International ed. in English) Apr 15, 2026

Food-borne outbreaks are frequently caused by multiple live pathogens that conventional methods cannot process simultaneously. We report a DNAzyme-driven rolling-circle amplification/molecular-beacon encoding system (DRM-ES) coupled with a smartphone... read more

Prediction of acetylcholinesterase inhibition associated with Alzheimer's disease using hybrid descriptor and graph-based machine learning models.

SAR and QSAR in environmental research Apr 15, 2026

Accurate prediction of acetylcholinesterase (AChE) inhibitory activity is important in drug discovery and environmental toxicology because AChE inhibition represents a key mechanism underlying neurotoxicity associated with pharmaceuticals and environ... read more

In Vitro Biological Neuronal Networks Achieve Low-Power Consumption and High-Speed Communication through Predictable Stimulation.

ACS sensors Apr 15, 2026

Biological neural networks (BNNs) promise low-power consumption and massive parallelism, offering a plausible route toward truly bio-derived intelligence beyond conventional AI frameworks. However, their computational principles remain poorly underst... read more

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time.

eLife Apr 15, 2026

idTracker and idtracker.ai approach multi-animal tracking from video as an image classification problem. For this classification, both rely on segments of video where all animals are visible to extract images and their identity labels. When these seg... read more

Recent Advances in Transducers for Through-Tissue Ultrasonic Power Transfer.

Progress in biomedical engineering (Bristol, England) Apr 15, 2026

Ultrasonic power transfer (UPT) is gaining traction for wireless energy delivery to implants and wearables because it combines centimeter-scale penetration with compact receivers. This review takes a transducer-centric view of UPT and organizes the f... read more

Integrating Machine Learning Tools in Protein Design: A Case of MHETase Engineering for PET Biodeconstruction.

Protein engineering, design & selection : PEDS Apr 15, 2026

The integration of machine learning tools into protein engineering offers substantial promise, yet linking computational predictions to experimental performance remains challenging. Here, we applied accessible computational platforms to engineer Ideo... read more

Unveiling the Disproportionate Impact of Nitrogen Deposition on Aquatic Nutrient Loading and Greenhouse Gas Emissions.

Environmental science & technology Apr 15, 2026

Existing research has confirmed that nitrogen deposition is a key source of nutrient input in watersheds, but its contribution to riverine carbon, nitrogen loads, and aquatic greenhouse gas (GHG) emissions has not been thoroughly quantified. By devel... read more

Artificial Intelligence Medical Compendium