Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
Integrative Multi-Omics and Computational Modeling for Biomarker Discovery in Complex Human Diseases
Complex human diseases—such as cancer, neurodegenerative disorders, autoimmune conditions, cardiometabolic disease, and chronic inflammatory syndromes—arise ...
Of the countless AI tools available today, NotebookLM remains virtually one-of-a-kind. As a Google app that uses AI to help ...
Google has released TranslateGemma, a set of open translation models based on the Gemma 3 architecture, offering 4B, 12B, and ...
Understanding how a tumor evolves against the attack of the immune system is one of the greatest challenges in modern ...
Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...
Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...
This repository contains the official implementation for R3DM accepted at the International Conference on Machine Learning (ICML) 2025. It includes the source code for the ACORM and R3DM algorithms, ...
AI chatbots, including commercial market leaders such as ChatGPT, Google Gemini, and Claude, dispense advice that heavily ...
Abstract: Modern deep learning models have achieved superior performance in almost all fields of remote sensing. An often neglected aspect of these models is the quantification and evaluation of ...
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