podcasts
Advanced 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.
List view / Grid view
Machine learning
news
Assessing 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.
news
New 3D genomic profiling technique details PanINs
Researchers have developed a 3D approach to improve the characterisation of pancreatic intraepithelial neoplasias.
article
Machine 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.…
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…
article
SARS-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.
news
Reducing drug resistance in acute myeloid leukaemia patients
Researchers conducted a proteogenomic characterisation and found that drug exposure changes drug sensitivity.
news
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.
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.
article
How 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.
news
Unexpected patterns in DNA mutations identified
Disruptions in TP53 and RB1 are key influencers that cause changes in the risk of mutations across chromosomes.
news
Using 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.
article
Documenting 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.
news
Macrophage phenotype insights could improve immunotherapy
A certain macrophage phenotype is more effective than another phenotype commonly used in cell therapy for infiltrating tumours.
podcasts
Episode 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.
