Cancer & Disease Research
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
Companion diagnostics survive COVID-19 with small nick
The COVID-19 crisis has had a slightly negative, but not critical, impact on the market for companion diagnostics, according to a new market report from market research firm Kalorama Information. Read More
Researchers discuss progress toward personalized cancer vaccines
Highly targeted and adaptable platforms allow researchers to develop cancer vaccines for a multitude of different cancer types and even create personalized vaccines for individual cancer patients. Researchers from BioNTech and the Wistar Institute shared exciting developments in cancer vaccines in a methods workshop during the American Association for Cancer Research 2020 virtual annual meeting II. Read More
Next-generation sequencing reveals inherited mutations in young cancer patients
Researchers advocated for increased genomic surveillance in younger adult cancer patients with tumors that typically strike later in life, in a study presented at the American Association for Cancer Research 2020 virtual meeting, held June 22 to 24. Read More
From DNA to precision medicine, researchers discuss breakthroughs in cancer research
From the use of novel technologies such as machine learning and CRISPR, to gaining a deeper understanding of the genetic and molecular drivers of cancer, researchers from around the globe shared their progress with the cancer research community on June 22 at the opening plenary session of the American Association for Cancer Research 2020 virtual annual meeting II. Read More
Communication of cancer cells analyzed with organoids and novel cytometry
A new technique using organoids, self-organizing 3D tissue models, can decipher how individual cancer cells communicate with each other and the unique signals they create. This research, published in Nature Methods on February 17, could be used to help develop personalized cancer treatments in the future. Read More
T cells work as a team to fight infection
Immune cells may be better at sensing each other than previously thought, according to a new study published in Immunity on February 11. Researchers from Germany, the Netherlands, and the U.K. revealed a mechanism T cells use to work as a team and mutually determine how to fight infections. Read More
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