Public Health & Policy

Clinical Trials

Latest AI and machine learning research in clinical trials for healthcare professionals.

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Scale-up Unlearnable Examples Learning with High-Performance Computing

Recent advancements in AI models are structured to retain user interactions, which could inadverte...

Performance of YOLOv7 in Kitchen Safety While Handling Knife

Safe knife practices in the kitchen significantly reduce the risk of cuts, injuries, and serious a...

CROPS: Model-Agnostic Training-Free Framework for Safe Image Synthesis with Latent Diffusion Models

With advances in diffusion models, image generation has shown significant performance improvements...

Open Problems in Machine Unlearning for AI Safety

As AI systems become more capable, widely deployed, and increasingly autonomous in critical areas ...

Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency

Multimodal Large Language Models (MLLMs) have achieved impressive performance and have been put in...

Understanding, Implementing, and Supporting Security Assurance Cases in Safety-Critical Domains

The increasing demand for connectivity in safety-critical domains has made security assurance a cr...

Causal Machine Learning Methods for Estimating Personalised Treatment Effects -- Insights on validity from two large trials

Causal machine learning (ML) methods hold great promise for advancing precision medicine by estima...

SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets

Safety-critical driving data is crucial for developing safe and trustworthy self-driving algorithm...

SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation

As advancements in large language models (LLMs) continue and the demand for personalized models in...

Accurate and Interpretable Prediction of Antidepressant Treatment Response from Receptor-informed Neuroimaging

Conventional antidepressants show moderate efficacy in treating major depressive disorder. Psychedel...

Systematic feature and architecture evaluation reveals tokenized learned embeddings enhance siRNA efficacy prediction

Recent advances in machine learning have improved the prediction of siRNA efficacy, with graph neura...

CIAdex: Single-Cell FTIR Spectral Fingerprinting for Cell Identity Verification and Aging Quantification in Therapeutic Cell Manufacturing

Ensuring the identity and optimal aging state of cell products is critical for the efficacy and safe...

CART-GPT: A T Cell-Informed AI Linguistic Framework for Interpreting Neurotoxicity and Therapeutic Outcomes in CAR-T Therapy

Chimeric antigen receptor (CAR) T cell therapy holds transformative potential for hematologic malign...

Machine Learning Reveals Intrinsic Determinants of siRNA Efficacy

Small interfering RNAs (siRNAs) are widely used in therapeutics and agriculture for sequence-specifi...

Retrospective image analysis for long-term demography using Google Earth imagery

Ecosystems are rapidly degrading. Widely used approaches to monitor ecosystems to manage them effect...

TransStop, a genomic language model for the pan-drug prediction of translational readthrough efficacy

Premature termination codons (PTCs) are a major cause of genetic diseases, but the efficacy of thera...

Structurally Informed Fitness Landscapes for Surveillance of Emerging PRRSV Variants

Antibodies play a central role in neutralizing pathogens through direct interference with viral entr...

Lipid Nanoparticles with Aptamers Enable Targeted mRNA Delivery to CD4+ T Cells

In vivo genetic engineering of T cells could overcome the logistical, biological, and safety challen...

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