All Artificial Intelligence (AI) articles – Page 14
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Article
Unlocking the potential of natural products in drug discovery
Natural products play an underappreciated role in drug discovery. Tandem mass spectrometry (MS/MS)-based metabolomics coupled with machine learning is allowing new, highly diverse molecules from natural products to be identified, revealing bioactive compounds and pinpointing promising drug targets. The additional dimension provided by trapped ion mobility (TIMS) enables researchers to ...
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NewsNew AI model could help to overcome antibiotic resistance
Six molecules that had potent antibacterial effect against one of the world’s most dangerous antibiotic-resistant bacteria were generated.
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NewsImproved understanding of the liver fibrosis process
Scientists have examined gene activity in mice models, noting important indicators of liver disease severity which may be used as therapeutic strategies.
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NewsNew algorithm identifies high-risk precancerous lesions
Researchers have developed an algorithm which could improve diagnostics of ovarian high-grade serous carcinoma.
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ArticleScalable precision design targeting complex product profiles
We had the privilege of speaking to Dr Víctor Sebastián Pérez, Associate Director of Computational Drug Design, following his presentation at ELRIG UK 2023. He shares his insights into how Exscientia is using AI to design drug candidates for cancer treatment.
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ReportBeyond the lab: artificial intelligence
Amidst the transformative era of AI in drug discovery, this report focuses on recent advancements, notably the development of highly accurate drug target models, and how AI is revolutionising precision in identifying drug targets.
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NewsMapping functional states of oncoproteins with AI
Researchers have developed a computational analysis tool which will improve patient stratification and enable personalised medicine.
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News
New algorithm can predict when cancer will resist chemotherapy
The ML algorithm explores how genetic mutations collectively influence a tumour’s reaction to drugs impeding DNA replication.
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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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ArticleUsing proteomics to overcome glioblastoma resistance
Using an AI algorithm to predict glioblastoma’s most active kinase, researchers hope for a next-generation precision therapy targeting resistant cancers.
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ArticleHow AI is accelerating the future of precision medicine
Dr Ketan Patel, Clarivate, shares his insights about the use of Real-World Data and genomic biomarker data and discusses how researchers can use these to better detect and diagnose diseases.
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ArticleThe future of mRNA biology and AI convergence
In the rapidly evolving landscape of mRNA biology and artificial intelligence (AI), Anima Biotech stands at the forefront, a unique approach that reshapes our understanding of diseases and transforms the drug discovery process. mRNA biology holds immense potential with RNAi drugs in the market and mRNA vaccines showing promise, particularly ...
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NewsAI system produces binding proteins using limited target information
New software can make protein molecules that bind with high affinity and specificity to many biomarkers, including human hormones.
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News
Novel AI algorithm improves decoding accuracy of brain signals
A new deep-learning method could enhance therapeutic devices for people with neurological or mental health conditions.
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Article
AI system develops features of complex brains
An AI system could be used to observe how physical constraints shape brains and impact people with cognitive difficulties.
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NewsNew AI model can evaluate invasive breast cancer outcomes
Combining cancerous and non-cancerous cell patterns, the AI model evaluates breast cancer outcomes better than expert pathologists.
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ArticleDocumenting the mammalian brain using machine learning
Novel approaches to brain disorder diagnosis and treatment may be developed following a project to form a map of the mouse hippocampus.
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News
Improving ovarian cancer outcomes with artificial intelligence
Researchers have developed an AI based model that is 80 percent accurate in predicting the therapy outcome of high-grade ovarian cancer.
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ArticleAI in gene delivery vector discovery and design
Dr Fernando Garces, Director of Biotechnology and Innovation at BioMap, discusses the huge potential of AI to deliver successful cell and gene therapy products by optimised design of viral vectors.
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NewsAI: age prediction model on human brain tissue developed
For the first time ever, researchers have developed an algorithm to predict age at death and indicate early changes related to disease.