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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The ML algorithm explores how genetic mutations collectively influence a tumour’s reaction to drugs impeding DNA replication.
Learn more about Euretos computational disease model and how it predicts many of the known drug targets for RA.
Using an AI algorithm to predict glioblastoma’s most active kinase, researchers hope for a next-generation precision therapy targeting resistant cancers.
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.
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…
New software can make protein molecules that bind with high affinity and specificity to many biomarkers, including human hormones.
A new deep-learning method could enhance therapeutic devices for people with neurological or mental health conditions.
An AI system could be used to observe how physical constraints shape brains and impact people with cognitive difficulties.
Combining cancerous and non-cancerous cell patterns, the AI model evaluates breast cancer outcomes better than expert pathologists.
Novel approaches to brain disorder diagnosis and treatment may be developed following a project to form a map of the mouse hippocampus.
Researchers have developed an AI based model that is 80 percent accurate in predicting the therapy outcome of high-grade ovarian cancer.
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.
For the first time ever, researchers have developed an algorithm to predict age at death and indicate early changes related to disease.
Tune into this podcast to understand why researchers are turning to 3D Organoids and how organoids can be made ready for screening.
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…