Artificial Intelligence Model “Learns” from Patient Data to Make Cancer Treatment Less Toxic
Machine-learning system determines the fewest, smallest doses that could still shrink brain tumors
Machine-learning system determines the fewest, smallest doses that could still shrink brain tumors
Determining connections between genetic traits and diseases using genome-wide studies could help improve efficacy and safety of new therapeutic drug
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ACD/Labs algorithms will continue to equip ChemSpider with physicochemical property values and chemical nomenclature following ten-year milestone
Researchers from University of Manchester and Salford Royal NHS Foundation Trust have developed an instrument which could treat chronic ulcers with light
Novel diagnostic technology enables powerful data intelligence, operational improvements and other enhancements in the lab
Gently compressed stacks of graphene form sharp crinkles that carry an electric charge, which could be useful in nanoscale self-assembly and other applications
SelectScience will be attending the AACC Annual Meeting in Chicago, USA, to interview leading scientists and report on the latest technologies
Agreement focuses on an innovative mobile testing solution for in-field analysis of lubricating oils and greases
By partnering with WCRF, SCIEX supports research that benefits cancer patients
First ZEISS ZEN Intellesis solution enables segmentation of correlative microscopy datasets
Agreement to focus on accelerating campus innovation from lab to real world via UCI Applied Innovation
An international collaboration between the University of Bath and Universidad de los Andes has developed an integrated device for testing a water source
University of Missouri School of Medicine pilots Roche’s cloud-based NAVIFY Tumor Board solution to streamline & standardize data collection and presentation, enabling faster, better collaboration among oncology care teams
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Osaka University researchers design organic photovoltaic polymer using machine learning
How cross-functional collaboration between academia and industry is advancing drug discovery in the ULTRA-DD program
Boosting T cell memory may result in long-lasting and effective responses for patients treated with checkpoint blockade immunotherapies
CYC065, an inhibitor of CDK2 and CDK9 kinases, has inhibited tumor growth in some patients with advanced cancers