Cancer & Disease Research
Google Cloud launches Healthcare Data Engine
Google Cloud announced the preview of Healthcare Data Engine, a tool for healthcare and life sciences organizations that integrates and standardizes data from multiple silos, including medical records, claims, clinical trials, and research data. Read More
Amazon announces availability of HealthLake cloud repository
Internet services giant Amazon Web Services has announced that its HealthLake cloud-based data repository is now available for use by healthcare and life sciences organizations. Read More
Swiss health data network fuels personalized medicine with data-sharing model
A nationwide data network has been built in Switzerland to support the exchange and reuse of health-related data produced in biomedical and clinical research settings. The strategy, which could serve as a model for how other countries can accelerate the development of personalized medicine, was recently described in an article in JMIR Medical Informatics. Read More
Future of small-molecule drugs lies in oral formulations
The way forward for small-molecule drug manufacturers is through orally administered products, according to Spiro Rombotis, president and CEO of Cyclacel, who recently spoke with ScienceBoard.net. Read More
Innovation in single-cell sequencing unlocks 10x more data from each cell
A new single-cell sequencing method yields at least 10 times more data for each individual cell compared to previous techniques. The method, published in Nature Biotechnology on July 5, may help cancer researchers uncover new insights into the biological underpinnings of cancer such as drug resistance. Read More
Personalized cell therapies offer hope for some of the toughest cancers
Complete with a long-term vision of developing a pipeline of oncology therapies that modulate the functional immune system, Sotio of the Czech Republic is breaking into the world of autologous immuno-oncology therapies. The company's goal is to eventually become a prominent European pharmaceutical firm, according to Radek Špíšek, PhD, CEO and founding scientist of Sotio, who spoke with ScienceBoard.net in a recent interview. Read More
Machine-learning system ranks most effective cancer drugs
Scientists successfully trained an ensemble of machine-learning (ML) algorithms to rank clinically relevant cancer drugs based on the drugs' predicted efficacy in reducing cancer cell growth. The study, reported in Nature Communications on March 25, suggests that ML may soon be widely used to predict the most appropriate treatment for individual patients with cancer. Read More
EpiMorgify algorithm predicts best conditions for cell therapies
In order to determine optimal cell growth conditions for the development of cellular therapies, researchers have devised an algorithm called EpiMorgify that can predict what factors are needed to produce high-quality cultures. The study was published on October 9 in Cell Systems. Read More
Is 'bespoke' therapy the future of genomic medicine?
Gene therapies hold extremely exciting promise for meeting the unmet needs of many individuals with genetic diseases, as discussed in a session of the second annual American Society of Gene & Cell Therapy Policy Summit on September 24. Read More
ESMO recommends use of NGS for advanced cancers
The European Society for Medical Oncology (ESMO) released its first recommendations for the use of next-generation sequencing (NGS) for patients with metastatic cancers. The guidance was published in the Annals of Oncology on August 25. Read More
Conferences
CPhI North America
August 10-12
Philadelphia, Pennsylvania United States
Bioprocessing Summit
August 16-19
Boston, Massachusetts United States
6th Annual CAR-TCR Summit
August 30 - September 2
Online
European Congress of Immunology (ECI) 2021
September 1-4
Belgrade Serbia
Medical Affairs Strategic Summit (MASS)
September 13-15
New Brunswick, New Jersey United States
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