AI Medical Compendium

subCellSAM: Zero-Shot (Sub-)Cellular Segmentation for Hit Validation in Drug Discovery

arXiv Aug 19, 2025

High-throughput screening using automated microscopes is a key driver in biopharma drug discovery, enabling the parallel evaluation of thousands of drug candidates for diseases such as cancer. Traditional image analysis and deep learning approaches... read more

Image and Video Processing Computer Vision and Pattern Recognition

Spontaneous eye blink-based machine learning for tracking clinical fluctuations in Parkinson's disease.

NPJ Parkinson's disease Aug 19, 2025

In this uncontrolled, open-label exploratory clinical study, the authors explore the potential of blink data as a digital biomarker for estimating clinical indices of Parkinson's disease (PD) using a machine learning approach. Blink data were collect... read more

A deep learning model to predict glioma recurrence using integrated genomic and clinical data.

Communications medicine Aug 19, 2025

BACKGROUND: Gliomas account for approximately 25.5% of all primary brain and central nervous system (CNS) tumors and 80.8% of malignant brain and CNS tumors. The prognosis varies considerably; patients with low-grade gliomas (LGGs) have 5-year surviv... read more

Extending a Phylogeny-based Method for Detecting Signatures of Multi-level Selection for Applications in Artificial Life

arXiv Aug 19, 2025

Multilevel selection occurs when short-term individual-level reproductive interests conflict with longer-term group-level fitness effects. Detecting and quantifying this phenomenon is key to understanding evolution of traits ranging from multicellu... read more

Populations and Evolution Neural and Evolutionary Computing

Human-like monocular depth biases in deep neural networks.

PLoS computational biology Aug 19, 2025

Human depth perception from 2D images is systematically distorted, yet the nature of these distortions is not fully understood. By examining error patterns in depth estimation for both humans and deep neural networks (DNNs), which have shown remarkab... read more

CT-based auto-segmentation of multiple target volumes for all-in-one radiotherapy in rectal cancer patients.

Radiation oncology (London, England) Aug 19, 2025

The role of personality traits in predicting educational use of generative AI in higher education.

Scientific reports Aug 19, 2025

Generative Artificial Intelligence (Gen-AI) systems offer significant opportunities for personalized learning in higher education. Studying the effects of personality traits on the use of Gen-AI is crucial for understanding the role of individual dif... read more

Humans Neural Networks, Computer Artificial Intelligence Female Young Adult Adult Male Students Surveys and Questionnaires Personality Adolescent Universities

Insights and Outlook from the First Ethical, Legal, and Social Implication Symposium of the BBMRI-ERIC Academy at International Agency for Research on Cancer/World Health Organization.

Biopreservation and biobanking Aug 19, 2025

The first Biobanking and BioMolecular resources Research Infrastructure-Academy Ethical, Legal, and Social Implications (ELSI)'s Symposium, held in June 2024 at IARC/WHO in Lyon, explored ethical, legal, and societal dimensions of biobanking and biom... read more

What social stratifications in bias blind spot can tell us about implicit social bias in both LLMs and humans.

Scientific reports Aug 19, 2025

Large language models (LLMs) are the engines behind generative Artificial Intelligence (AI) applications, the most well-known being chatbots. As conversational agents, they-much like the humans on whose data they are trained-exhibit social bias. The ... read more

Humans Artificial Intelligence Language Female Adult Male Bias Social Perception Prejudice

Scaling up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations.

IEEE transactions on pattern analysis and machine intelligence Aug 19, 2025

This paper proposes the paradigm of large convolutional kernels in designing modern Convolutional Neural Networks (ConvNets). We establish that employing a few large kernels, instead of stacking multiple smaller ones, can be a superior design strateg... read more

Artificial Intelligence Medical Compendium