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.
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.
Researchers, using high-resolution mapping and mathematical modelling, have found mechanisms controlling mutation-driven diseases.
An advanced computational model enables scientists to study how cancer cells navigate through blood vessels.
Combining cancerous and non-cancerous cell patterns, the AI model evaluates breast cancer outcomes better than expert pathologists.
Researchers have developed an AI based model that is 80 percent accurate in predicting the therapy outcome of high-grade ovarian cancer.
Percent necrosis calculated with machine learning model for patients with osteosarcoma provides an accurate prognosis for survival.
Tune into this podcast to understand why researchers are turning to 3D Organoids and how organoids can be made ready for screening.
29 September 2023 | By Analytik Jena
Watch this webinar to learn how PROTACs are revolutionising drug discovery, and the critical role protein purification plays in the production of therapeutic proteins.
This ebook outlines Euretos’ approach to target discovery and indication expansion. Whilst also discussing data-driven target selection.
A new Drug Target Review issue is now ready to download! This issue features articles on vaccine development, artificial intelligence and organoids.
24 August 2023 | By Bio-Rad Laboratories Inc.
Watch our industry experts to learn about the tangible benefits and best practice of custom flow cytometry automation projects. You’ll discover how to reduce your challenges implementing tailored automation, controlling the quality of the data produced and improving the reliability of your data acquisition.
Researchers from the German Cancer Research Center (DKFZ) and the Cambridge Stem Cell Institute have developed an artificial intelligence (AI) system capable of identifying and characterising white and red blood cells within microscopic images of blood samples. This AI algorithm holds the potential to aid medical professionals in diagnosing blood…