All Informatics articles – Page 7
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ArticleKickstarting 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 ...
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WebinarSAFIRE: AI predicted ADME for drug discovery: leveraging BioPrint
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.
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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.
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WhitepaperWhitepaper: 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.
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WhitepaperCase 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.
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Whitepaperebook: 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.
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WebinarTurning Plans into Reality: Real Examples of Custom Automation Projects
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.
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NewsNew computational tool may fuel vaccine development
La Jolla biologists harness machine learning and computational tools to make sense of immune system data.
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ArticleNavigating the challenges and opportunities of AI in drug development and personalised medicine
This article is the second part of Drug Target Review’s Izzy Wood’s discussion with Olivia Cavlan, Chief Corporate Development and Strategy Officer at Alchemab Therapeutics Ltd, exploring the role of AI in target discovery, its applications in personalised medicine, and the evolving landscape of pharmaceutical development.
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VideoVideo: Four integrated technologies for biologics developability assessment
The decisions you make about your biologics candidates early in the pipeline ultimately affect their success as therapeutics. Combine sizing and stability information to develop successful biologics.
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ArticleThe future of lab automation: streamlining drug research
In this article, Drug Target Review's Ria Kakkad and Izzy Wood explore the results of the latest research on lab automation techniques and technologies designed to accelerate drug discovery.
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ArticleEpisode 18 – Scaling up organoids
Tune into this podcast to hear experts discussing scaling up 3D organoids!
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ArticleLatest in lab automation
In this article Drug Target Review's Izzy Wood highlights three of the latest findings using lab automation techniques and technologies that aid scientists.
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NewsResearchers discover small molecules that bind to SARS-CoV-2 spike proteins
The resulting compounds, which can bind to spike proteins from the original coronavirus, could serve as a starting point for developing broad-spectrum treatments for COVID-19.
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NewsResearch reveals protein plaques associated with Alzheimer’s disease are stickier than thought
Scientists from Rice University are using fluorescence lifetime to shed new light on a peptide associated with Alzheimer’s disease.
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NewsResearchers develop an all-optical system for testing lab-on-a-chip human hearts
A novel all-optical system uses optogenetics, machine vision cameras, and off-the-shelf components to stimulate and image engineered networks of human heart cells.
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NewsNew database maps proteins that could predict cancer
Swedish researchers unveiled a new cancer protein profile database compiled from artificial intelligence and machine learning.
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NewsNew method precisely locates gene activity and proteins across tissues
The scientists argue the technique enables the creation of complex, data-rich “maps” of organs, including diseased organs and tumours, which could be widely useful in pre-clinical research.