Christos Kyrgios
@kyrgiosc.bsky.social
Always keen to learn new things and have faith in humanity
Reposted by Christos Kyrgios
Almost all Nobel Prizes are awarded for work that is exploratory, or absolutely basic science with no obvious commercial or medical benefit.
You cannot predict where advancements come from, so you have to invest in science and scientists.
Targeted (corporate) science investment will never do this.
You cannot predict where advancements come from, so you have to invest in science and scientists.
Targeted (corporate) science investment will never do this.
Reminder: Nobel-prize winning PCR (1983), used in basically all genetic tech today, was only possible because of extremophile bacterium discovered in 1964 in Yellowstone funded by a small ~$80k NSF grant with no obvious application at the time. #science 🧪
www.richmondscientific.com/how-a-discov...
www.richmondscientific.com/how-a-discov...
How a discovery in Yellowstone National Park led to the development of PCR - Richmond Scientific
A discovery in Yellowstone National Park led to the development of PCR, the gold-standard COVID-19 tests used to fight the global pandemic.
www.richmondscientific.com
June 8, 2025 at 10:26 PM
Almost all Nobel Prizes are awarded for work that is exploratory, or absolutely basic science with no obvious commercial or medical benefit.
You cannot predict where advancements come from, so you have to invest in science and scientists.
Targeted (corporate) science investment will never do this.
You cannot predict where advancements come from, so you have to invest in science and scientists.
Targeted (corporate) science investment will never do this.
Efficient and scalable construction of clinical variable networks for complex diseases with RAMEN: Cell Reports Methods www.cell.com/cell-reports...
Efficient and scalable construction of clinical variable networks for complex diseases with RAMEN
Xiong et al. present RAMEN, an approach that integrates absorbing random walks and
genetic algorithms to enable efficient and scalable construction of Bayesian networks
from clinical data. Validated u...
www.cell.com
April 10, 2025 at 7:46 PM
Efficient and scalable construction of clinical variable networks for complex diseases with RAMEN: Cell Reports Methods www.cell.com/cell-reports...
