news
K Navigator: an AI co-pilot transforming biomedical research
K Navigator, a new AI-powered research co-pilot, is set to transform biomedical science by helping researchers explore complex data and accelerate discoveries.
List view / Grid view
Informatics
article
Using knowledge graphs in drug discovery (Part 2): how they’re shaping scientific progress
In this second interview of the series, Andreas Kolleger, Head of GenAI Innovation at Neo4j, discusses how knowledge graphs and AI are transforming scientific discovery and improving life sciences workflows.
article
Using knowledge graphs in drug discovery (Part 1): how they link to large language models
In this first interview of a two-part series, Andreas Kolleger explores the convergence of knowledge graphs and large language models. As the head of GenAI innovation at Neo4j, Andreas brings a unique cross-industry perspective on how these technologies can enhance life sciences workflows.
news
AI designs peptides for ‘undruggable’ diseases
A new AI-powered approach is tackling the challenge of 'undruggable' diseases by designing peptides that can bind to and destroy previously untreatable proteins.
news
The Pistoia Alliance: key findings on AI
Results from Pistoia Alliance’s Lab of the Future survey has shared important findings about the challenges life science companies face.
webinar
Overcoming critical challenges in AI-driven drug discovery
16 September 2024 | By Drug Target Review
The increasing use of AI in the life science field marks a pivotal point in history. Although AI is now an indispensable tool in drug discovery, promising to save vast amounts of time and money, there are still many hurdles scientists encounter. This webinar will explore these challenges and offer…
article
Part three: pragmatic guidelines to getting the best out of LLMs
There have been a slew of announcements over the past few months from AI-led biotechs around the potential of Large Language Models (LLM) in early drug discovery. In the third of a three-part series, Dr Raminderpal Singh presents some pragmatic guidelines for scientists in accessing and obtaining value from LLMs.
article
Kickstarting the use of AI for biotechs: part two
Traditional wet lab scientists working on target discovery, drug identification and drug optimisation have an opportunity to catch up with their AI-enabled peers – but why should they, and how? In this article – the second of a three-part series – Dr Raminderpal Singh touches on methods that are being…
webinar
SAFIRE: AI predicted ADME for drug discovery: leveraging BioPrint
9 April 2024 | By Eurofins Discovery
Join Dr Carleton Sage to learn about predicting ADME properties as a key approach to improving the efficiency of small molecule drug discovery. AI ADME model development approaches and case studies within drug discovery projects will be discussed.
news
Novel prediction tool accurately determines disease stage
A new learning-based framework enables patients and caregivers to predict the timing of any of the five clinical groups of AD development.
whitepaper
Whitepaper: Targeting kinases in the innate immune response
The guide provides examples of how Transcreener allowed rapid assay development to enable screening for kinases in innate immune pathways.
whitepaper
Case Study: Target discovery for rheumatoid arthritis
Learn more about Euretos computational disease model and how it predicts many of the known drug targets for RA.
whitepaper
ebook: Maximizing preclinical confidence in target efficacy and safety
This ebook outlines Euretos’ approach to target discovery and indication expansion. Whilst also discussing data-driven target selection.
webinar
Turning Plans into Reality: Real Examples of Custom Automation Projects
24 August 2023 | By Bio-Rad Laboratories Inc.
Watch our industry experts to learn about the tangible benefits and best practice of custom flow cytometry automation projects. You’ll discover how to reduce your challenges implementing tailored automation, controlling the quality of the data produced and improving the reliability of your data acquisition.
news
New computational tool may fuel vaccine development
La Jolla biologists harness machine learning and computational tools to make sense of immune system data.
