All Machine Learning (ML) articles – Page 6
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ArticleLarge language models: now more affordable and reliable than ever
In this article, Dr Raminderpal Singh explores the transformative impact of the Deepseek R1 open-source large language model on drug discovery. Its potential offers exciting opportunities for both scientists and software developers, marking a significant advancement for the life sciences community.
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ArticleScientific workflow for hypothesis testing in drug discovery: part 3 of 3
Drug discovery scientists develop and test complex hypotheses using data and expertise, and build workflows to support this. In this third and final article, Dr Raminderpal Singh and Nina Truter summarise the tools used in the scientific workflow – and include key considerations.
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NewsAI identifies life-saving treatment for rare Castleman's disease
An AI tool has identified adalimumab, a drug used for arthritis and Crohn’s disease, as a life-saving treatment for rare Castleman’s disease (iMCD). This finding offers hope for patients with the condition.
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NewsNew study shows CGM data can predict diabetes complications
UVA researchers found that continuous glucose monitor data can predict nerve, eye, and kidney damage in type 1 diabetes.
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NewsThe Michael J Fox Foundation for Parkinson’s Research awards grant to Grifols for pioneering study
Grifols has received a $21 million grant from The Michael J. Fox Foundation to fund a pioneering study aimed at identifying early biomarkers for Parkinson's disease (PD).
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NewsUVA’s computer models target antibiotics to combat resistance
Researchers at the University of Virginia School of Medicine have developed computer models to create more targeted antibiotics. This approach aims to fight antibiotic resistance by focusing on specific bacteria in different parts of the body, reducing the reliance on broad-spectrum antibiotics.
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ArticleHow AI will reshape pharma in 2025
AI is set to transform drug development in 2025, streamlining processes and opening new possibilities. Learn how this technology is transforming clinical trials and reshaping the pharmaceutical industry.
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ArticleThe paradox of data in precision medicine
The path to faster breakthroughs in precision medicine begins with overcoming the complexities of multi-modal data. Discover how innovative solutions are enabling more personalised treatments.
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NewsThe 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.
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ArticlePart two: the impact of poor data quality
In this four-part series, Dr Raminderpal Singh will discuss the challenges surrounding limited data quality, and some pragmatic solutions. In this second article, he discusses the problems that occur when using data of poor quality.
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ArticlePart one: an introduction to data quality
In this four-part series, Dr Singh will discuss the challenges surrounding limited data quality, and some pragmatic solutions. In this first article, the key attributes that define data quality and its requirement for data scientists are elucidated.
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ArticleAdvanced techniques in toxicity testing
Tune in to this episode where we explore how innovative assays and human-relevant cell models are transforming toxicity screening in drug development.
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NewsAssessing the risk of HCC with machine learning
A novel screening tool may increase the five-year survival rate of hepatocellular carcinoma patients to 90 percent.
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NewsNew 3D genomic profiling technique details PanINs
Researchers have developed a 3D approach to improve the characterisation of pancreatic intraepithelial neoplasias.
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ArticleMachine learning’s growing importance in researching cells
As we move towards more generalised AI models, neural networks and natural language interfaces, we’re starting to see machine learning take the place of higher order reasoning and data analysis “sense making.” Traditional scientific inquiry has typically been about asking specific questions of a specific model system under specific conditions. ...
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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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ArticleSARS-CoV-2 viral peptide fragments cause serious inflammatory response
In this Q&A, Dr Gerard Wong elucidates the inflammatory capacity of fragmented viral components from the perspective of supramolecular self-organisation.
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NewsReducing drug resistance in acute myeloid leukaemia patients
Researchers conducted a proteogenomic characterisation and found that drug exposure changes drug sensitivity.
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A new machine learning tool identifies drugs to minimise fibrosis
The computer model enables a better understanding of how drugs affect fibroblasts and finds a promising candidate to prevent heart scarring.
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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.