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FlyVISTA, an integrated machine learning platform for deep phenotyping of sleep in .

There is great interest in using genetically tractable organisms such as to gain insights into the ...

GramSeq-DTA: A Grammar-Based Drug-Target Affinity Prediction Approach Fusing Gene Expression Information.

Drug-target affinity (DTA) prediction is a critical aspect of drug discovery. The meaningful represe...

Sensing the Future of Thrombosis Management: Integrating Vessel-on-a-Chip Models, Advanced Biosensors, and AI-Driven Digital Twins.

Thrombotic events, such as strokes and deep vein thrombosis, remain a significant global health burd...

The Road Map for ACR Practice Accreditation for Radiology Artificial Intelligence.

As the use of artificial intelligence (AI) continues to grow in radiology, it has become clear that ...

An antibody developability triaging pipeline exploiting protein language models.

Therapeutic monoclonal antibodies (mAbs) are a successful class of biologic drugs that are frequentl...

Logic-based machine learning predicts how escitalopram attenuates cardiomyocyte hypertrophy.

Cardiomyocyte hypertrophy is a key clinical predictor of heart failure. High-throughput and AI-drive...

Potential of AI and ML in oncology research including diagnosis, treatment and future directions: A comprehensive prospective.

Artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools in cance...

MultiCycPermea: accurate and interpretable prediction of cyclic peptide permeability using a multimodal image-sequence model.

BACKGROUND: Cyclic peptides, known for their high binding affinity and low toxicity, show potential ...

Predicting oleogels properties using non-invasive spectroscopic techniques and machine learning.

Oleogelators are considered food additives that require approval from regulatory authorities. Theref...

From text to insight: A natural language processing-based analysis of burst and research trends in HER2-low breast cancer patients.

With the intensification of population aging, the proportion of elderly breast cancer patients is co...

Diagnostic Accuracy of IDX-DR for Detecting Diabetic Retinopathy: A Systematic Review and Meta-Analysis.

PURPOSE: Diabetic retinopathy (DR) is a leading cause of vision loss worldwide, making early detecti...

AI-Driven Analysis of Drug Marketing Efficiency: Unveiling FDA Approval to Market Release Dynamics.

This paper explores a novel approach using generative AI to enhance drug marketing strategies in the...

An extensive experimental analysis for heart disease prediction using artificial intelligence techniques.

The heart is an important organ that plays a crucial role in maintaining life. Unfortunately, heart ...

Thermo-responsive and phase-separated hydrogels for cardiac arrhythmia diagnosis with deep learning algorithms.

Adhesive epidermal hydrogel electrodes are essential for achieving robust signal transduction and ca...

ADR-DQPU: A Novel ADR Signal Detection Using Deep Reinforcement and Positive-Unlabeled Learning.

The medical community has grappled with the challenge of analysis and early detection of severe and ...

Artificial Intelligence in Natural Product Drug Discovery: Current Applications and Future Perspectives.

Drug discovery, a multifaceted process from compound identification to regulatory approval, historic...

Future prospective of AI in drug discovery.

Drug discovery and development is very expensive and long with an inferior success rate. It is quite...

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