AI Medical Compendium

Predicting blue carbon sequestration in Sundarban coastal mangroves: A spatially explicit approach with INVEST and machine learning to advance climate resilience and UN SDG-aligned nature-based climate solutions.

Marine pollution bulletin Feb 12, 2026

Coastal blue carbon ecosystems have emerged as vital nature-based solutions for addressing climate change. This study examines the Indian Sundarbans, the largest contiguous mangrove forest globally, to quantify key metrics, including carbon accumulat... read more

Biochar for next-generation anaerobic digestion: Global trends, multi-mechanism enhancement, and AI-driven prospects.

Journal of environmental management Feb 12, 2026

Biochar-enhanced anaerobic digestion is widely recognized as a promising strategy for converting organic waste into renewable energy. This article presents a comprehensive review that integrates a bibliometric analysis of 636 research articles on bio... read more

Rational protein design.

Current opinion in structural biology Feb 12, 2026

Protein design enables the creation of novel structures and functions beyond those found in nature, with recent progress accelerated by computational modeling and machine learning. However, many automated methods act as black boxes, limiting mechanis... read more

Machine learning approach for predicting the influence of pulverized waste tire rubber fines as a sustainable cement alternative in concrete.

Waste management (New York, N.Y.) Feb 12, 2026

The disposal of waste tires has a significant environmental impact, and there is growing interest in their integration as supplementary cementitious materials. Using recycled waste tire fines as a cementitious material can declare that rubber additio... read more

Autoencoder-driven stride length estimation for individuals with Parkinson's disease using inertial measurement unit-embedded footwear.

Gait & posture Feb 12, 2026

BACKGROUND: Gait disorders in Parkinson's disease (PD) are often characterized by reduced stride length, particularly under off-medication conditions. Inertial measurement units (IMUs) embedded in footwear provide a practical and environment-independ... read more

Integrated machine learning and density functional theory to design C₃N₅ piezo-catalysts toward precise control of selective reactive oxygen species and efficient water purification.

Journal of hazardous materials Feb 12, 2026

The precise modulation of reactive oxygen species (ROS) generation pathways is crucial for enhancing the selectivity and efficiency of piezo-catalytic water purification. Herein, we report a mechanism-informed machine learning (ML) strategy integrati... read more

A simplified co-culture reveals altered cardiotoxic responses to doxorubicin in hPSC-derived cardiomyocytes in the presence of endothelial cells.

Stem cell reports Feb 12, 2026

Cardiotoxicity is a significant challenge in cancer therapies, particularly with doxorubicin, a widely used anthracycline. More predictive in vitro models are needed to understand doxorubicin-induced cardiac damage and patient-specific responses. Her... read more

eccDNA2Ca: an ensemble deep learning framework for interpretable prediction of cancer-associated extrachromosomal circular DNA.

Journal of advanced research Feb 12, 2026

BACKGROUND: Extrachromosomal circular DNA (eccDNA) is increasingly recognized as a critical driver of oncogene amplification, therapeutic resistance, and intratumoral heterogeneity in cancer. However, existing computational approaches predominantly f... read more

Early detection of female-specific cancers using longitudinal healthcare records with a multichannel convolutional neural network.

BMJ health & care informatics Feb 12, 2026

OBJECTIVES: Female-specific cancers, including breast, ovarian, cervical and uterine malignancies, lack comprehensive early detection approaches, particularly for ovarian and endometrial cancers where effective population-level screening remains limi... read more

Artificial intelligence to improve the detection and risk stratification of acute pulmonary embolism (AID-PE): protocol for a pragmatic quasi-experimental comparator study.

BMJ open Feb 12, 2026

INTRODUCTION: Pulmonary embolism (PE) is a potentially fatal condition requiring timely diagnosis and treatment. CT pulmonary angiography (CTPA) is the gold standard for diagnosis and indicates PE severity through radiological markers of right heart ... read more

Artificial Intelligence Medical Compendium