All Machine Learning (ML) articles – Page 6
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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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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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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.
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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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NewsUnexpected patterns in DNA mutations identified
Disruptions in TP53 and RB1 are key influencers that cause changes in the risk of mutations across chromosomes.
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NewsUsing proteomics to predict long-term disability outcomes in MS
Data from protein analyses, combined with data from patient journals, enabled the discovery of proteins that predict disease progression.
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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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NewsMacrophage phenotype insights could improve immunotherapy
A certain macrophage phenotype is more effective than another phenotype commonly used in cell therapy for infiltrating tumours.
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ArticleEpisode 23 - Making organoids ready for screening
Tune into this podcast to understand why researchers are turning to 3D Organoids and how organoids can be made ready for screening.
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Artificial intelligence model revolutionises breast cancer surgery
Artificial intelligence (AI) and machine learning (ML) have been gaining significant attention lately, primarily in discussions about their responsible utilisation. However, these technologies possess a wide spectrum of practical applications, ranging from predicting natural disasters to addressing social disparities. Now, AI is making its mark in the field of cancer ...
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ArticleHow the AI revolution can accelerate early drug discovery
Rob Scoffin and Matthew Habgood from solutions provider Cresset look to the future of drug discovery and the roles that artificial intelligence and machine learning could play.
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NewsHarnessing machine learning for early cancer detection in primary care
Machine learning (ML) presents a promising opportunity to revolutionize early cancer detection in primary care, addressing the challenges associated with diagnostic errors and improving patient outcomes. The potential of ML in this field is highlighted in a recent paper published in Oncoscience
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NewsUS grant supports merging of maths and AI to push frontiers of science
Cornell University launches $11.3 Million Scientific Artificial Intelligence Centre to unlock the potential of human-AI collaboration in scientific discoveries.
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ArticleThe power of single-cell technologies
Drug Target Review’s Taylor Mixides interviews Cellarity's CEO Fabrice Chouraqui about applying Artificial Intelligence (AI) and Machine Learning (ML) to evolving single-cell technologies.
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ArticleDrug Target Review Screening eBook 2023
In this eBook, uncover the transformative potential of AI/ML in single-cell technologies and gain insights into disease progression.
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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.