Explore how artificial intelligence is revolutionizing scientific discovery. From AI drug discovery and protein folding to agentic scientists and LLMs for research, learn about the cutting-edge intersection of AI and life sciences.
Disclaimer: Never financial or medical advice and written in collaboration with ChatGPT and Grok In the fast-evolving world of technology, the S&P 500 faces an unprecedented wave of AI disruption over the next decade. With artificial intelligence and other exponential technologies converging, traditional sectors are set for a massive overhaul. In fact, Morgan Stanley analysts […]
Artificial intelligence is changing the way scientists design CRISPR experiments. CRISPR-Cas9 has revolutionized gene editing, but picking the right guide RNA (gRNA) to direct the Cas9 enzyme remains difficult because mismatched sequences can lead to off-target cuts and inconsistent efficiency. Traditional design tools rely on alignment rules or empirical scoring, which struggle to balance on-target
Introduction AlphaFold and its successor ESMFold have transformed structural biology by predicting protein structures from amino acid sequences with high accuracy. While these predictors have revolutionized our ability to understand existing proteins, a new frontier is emerging: generative models that design entirely new proteins with desired functions. These models move beyond structure prediction to actively
Artificial intelligence is reshaping how pharmaceutical scientists evaluate absorption, distribution, metabolism, excretion and toxicity – collectively called ADMET. Poor ADMET properties cause a large portion of late-stage drug failures, and traditional assays are costly and slow. Machine‑learning (ML) models now offer rapid, cost‑effective alternatives. A 2025 review of ML applications in ADMET prediction found that
Modern biomedical and materials research generates more data and experimental possibilities than any human lab team can handle. Researchers find themselves spending countless hours on repetitive tasks like weighing reagents, mixing solutions, and logging sample data. In an age where artificial intelligence can drive cars and draft literature reviews, it makes sense that the wet
CRISPR gene editing has revolutionized biology, but designing guide RNAs (gRNAs) that cut efficiently and avoid off target DNA damage is still challenging. Artificial intelligence (AI) is changing that. By learning patterns from thousands of experiments, machine learning models can predict which gRNAs will work best and help scientists design edits that are both potent and
Meta Description (SEO): Discover how AI-driven 3D visualization tools and VR/AR platforms are revolutionising the exploration of complex biological structures. Learn how synchronized 3D, 2D and 1D views and immersive technologies are making proteins, DNA and molecular interactions accessible and interactive. Introduction Modern biology generates mountains of data – from crystal structures of proteins to
The Deluge of Information In the age of open science, the rate of publications in life sciences and medicine has exploded. Even narrow topics can accumulate thousands of papers, preprints and trial reports in a few years. Researchers conducting systematic reviews often spend months manually searching for relevant studies, screening abstracts and extracting structured data.
AI Tools for Peptide Synthesis: Transforming Drug Discovery in the Lab Imagine a world where scientists can whip up custom-designed drugs like master chefs crafting gourmet meals—except instead of ingredients like flour and spices, they’re mixing amino acids into powerful peptides that could cure diseases we’ve long deemed untreatable. This isn’t science fiction; it’s the
Introduction: Why AI is Transforming Protein Science Artificial intelligence is rapidly reshaping how scientists design proteins, the fundamental building blocks of life. For decades, researchers struggled with the immense challenge of predicting how a string of amino acids would fold into a three-dimensional structure. Protein folding determines function, and function determines whether a protein could