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Entries for 'artificial intelligence'

Better Health Outcomes for All Australians – Medical Research Future Funding
Press Release

Better Health Outcomes for All Australians – Medical Research Future Funding

Sydney-based biotech start-up, 23Strands to play an integral and leading role in researching the benefit of genomic medicine to Indigenous Australians.
Leading this 5 year collaboration is Professor Alex Brown from the Australian National University who focussed on establishing the National Indigenous Genomics Network of research nodes to engage with Indigenous Australians in genetic research and health care in a culturally safe way.

Haemochromatosis Awareness Week
Cancer23

Haemochromatosis Awareness Week

23Strands merges AI with whole genomic sequencing to create personalized treatments for genetic diseases, including haemochromatosis. They conduct thorough gene expression analyses, pinpointing potential targets for precision drug therapy and assessing chemotherapy responses. Their primary goal is addressing genetic diseases through personalized medicine.

Arc Linkage Program Team Spotlight
Press Release

Arc Linkage Program Team Spotlight

As part of a prestigious program to encourage research collaboration, 23Strands has secured funding in partnership with the University of Technology Sydney (UTS). The Australian Research Council’s Linkage Program (ARC LP) aims to encourage and extend cooperative approaches to research and encourages the transfer of skills, knowledge and ideas as a basis for securing commercial and other benefits of research.

AI Tool Eve Accurately Predicts Disease Relevance of Human Genetic Variants
Research News

AI Tool Eve Accurately Predicts Disease Relevance of Human Genetic Variants

Researchers at Harvard Medical School and Oxford University have now developed an artificial intelligence (AI) tool called EVE (evolutionary model of variant effect), which uses a sophisticated type of machine learning to detect patterns of genetic variation across hundreds of thousands of nonhuman species and then use them to make predictions about the meaning of variations in human genes.