Gabriel Erion

Image and data mining in reticular chemistry powered by GPT-4V

Origin of Antibiotics and Antibiotic Resistance, and Their Impacts on Drug Development: A Narrative Review

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Improved pathogenicity prediction for rare human missense variants

Transfer learning with chest X-rays for ER patient classification

Artificial intelligence and machine learning assisted drug delivery for effective treatment of infectious diseases

Prediction of the sequence-specific cleavage activity of Cas9 variants

Understanding the diversity of the metal-organic framework ecosystem

Genome editing with CRISPR–Cas nucleases, base editors, transposases and prime editors

Adoption of Digital Technologies in Health Care During the COVID-19 Pandemic: Systematic Review of Early Scientific Literature

Informing antimicrobial stewardship with explainable AI

Artificial intelligence, machine learning and deep learning in advanced robotics, a review

Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications

Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications

Visualizing Pore Packing and Topology in MOFs

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

Machine learning-based approach: global trends, research directions, and regulatory standpoints

Uncertainty quantification for data-driven turbulence modelling with Mondrian forests

Facts and Figures on Materials Science and Nanotechnology Progress and Investment

Accurate proteome-wide missense variant effect prediction with AlphaMissense

From local explanations to global understanding with explainable AI for trees