Infectious Disease

COVID-19

Latest AI and machine learning research in covid-19 for healthcare professionals.

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Cross-dataset Evaluation of Dementia Longitudinal Progression Prediction Models

Accurately predicting Alzheimer’s Disease (AD) progression is useful for clinical care. The 2019 TAD...

DeepSeek as the paradigm shift in rare disease diagnosis – the power of a fully automated genetic variant classification system

Large language models (LLMs) have been extensively tested for incorporating into medical application...

Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions

Molecular and cellular alterations to the normal pseudostratified columnar bronchial epithelium resu...

Event-based seizure detection in human iEEG with neuromorphic hardware

Epilepsy is a neurological disorder that affects approximately 1% of the global population. The curr...

Zero-Shot Large Language Models for Long Clinical Text Summarization with Temporal Reasoning

Recent advances in large language models (LLMs) have shown potential in clinical text summarization,...

Prematurity and Genetic Liability for Autism Spectrum Disorder

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by diverse presentati...

Invisible Text Injection: The Trojan Horse of AI-Assisted Medical Peer Review

Are large language models robust against adversarial attacks in medical peer review? In this factori...

Delineating retinal breaks in ultra-widefield fundus images with a PraNet-based machine learning model

Retinal breaks are critical lesions that can lead to retinal detachment and vision loss if not detec...

A Systematic Review of Multimodal Deep Learning and Machine Learning Fusion Techniques for Prostate Cancer Classification

Prostate cancer remains one of the most prevalent malignancies and a leading cause of cancer-related...

Regulating Flexibility for Artificial Intelligence FDA Experience with Predetermined Change Control Plans

Predetermined Change Control Plans (PCCPs) are a recent regulatory innovation by the U.S. Food and D...

Serum metabolic signatures are associated with anti-drug antibody development in rheumatoid arthritis patients treated with adalimumab

Development of anti-drug antibodies (ADAs) is a barrier to long-term efficacy of biologic therapies ...

Evaluation of Gender Bias in the Evaluation of Synthetic Cardiovascular Disease Cases with Open Source LLMs

To systematically evaluate gender bias in open-source large language models (LLMs) for cardiovascula...

Integration of Gene Expression and Digital Histology to Predict Treatment-Specific Responses in Breast Cancer

Deep learning models applied to digital histology can predict gene expression signatures (GES) and o...

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