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12 January 2022 | By Thermo Fisher Scientific
Explore new methods and software enhancements to support your bioanalytical workflows by watching this on-demand webinar.
A new platform, named Virtual Synthon Hierarchical Enumeration Screening, has been developed by researchers to efficiently discover drugs.
In this Q&A, Professor Ross King from the University of Cambridge, UK, discusses how a new machine learning approach could aid drug discovery and development. The method learns from multiple problems and improves performance while it learns.
Learn about how Thermo Scientific™ Watson LIMS™ software can help manage bioanalytical studies, working to industry and regulatory standards for small and large molecule testing.
A new study in the US has used a computer model to reveal the mechanism of action of lipoprotein-associated phospholipase A2 – a biomarker for cardiovascular disease.
4 January 2022 | By SomaLogic
Watch our on-demand one-hour session to discover groundbreaking work to advance precision medicine for Castleman disease.
In this podcast, join Tyler Pascoe and Matt Gruver from Thermo Fisher Scientific as they explore the new Watson LIMS software.
A microplate-based method for the determination of association and dissociation rate values in high throughput using a kinetic probe competition assay (kPCA).
This issue includes articles that discuss the development of long-term 3D tissue cultures from human biopsy samples, the application of flow cytometry in drug discovery and automation for upstream processing in a biologics manufacturing environment. Also included are features on informatics, proteomics and CRISPR.
The new study used sequence clustering analysis to identify four subgroups of COVID-19 to help match patients to specific treatments.
Transformational machine learning (TML) learns from multiple problems and improves performance while it learns, potentially accelerating drug discovery.
With an ever-increasing emphasis on minimising drug candidate attrition, scientists are focusing on target safety at earlier points in the research process. In this exclusive interview, Drug Target Review spoke with Dr Gordon Baxter, Chief Scientific Officer of Instem, to learn how target safety assessments can enable researchers to quickly…
The study paves the way for the construction of complex nanoscale computers for the prevention and treatment of cancer and other diseases.
Biologics solutions from discovery to manufacturing.
Scientists have used several machine learning models to predict bacterial gene exchange, which could reveal novel antibiotic targets.
