Mile Sikic

@msikic

Group leader and assistant director @astar_gis, Prof @SveucilisteZG, partner @OraclumCapital. AI in Genomics

Singapore

sikic-lab.github.io

Joined December 2008

Pinned
Mile Sikic
@msikic
Apr 28
HERRO has been published in @Nature !! nature.com/articles/s4158… This achievement is a result of the great work by @domstanojevic, with contributions from @DehuiLin, @sergeynurk, and @PaolaFlorezdeS We are entering the era of high-quality genome assemblies supported by AI. This
Telomere-to-telomere assembly using HERRO-corrected Nanopore Simplex reads
From nature.com
Mile Sikic
@msikic
Aug 8
After many years of stubbornly staying in academia, wanting to work on something meaningful despite the lower salary and many parallel duties, I am happy to see that the most brilliant minds are now moving to AI for science, trying to solve hard problems in AI itself but also in
Mile Sikic
@msikic
Aug 6
I am happy that, together with @JosipaLipovac, I had the opportunity to contribute to the T2T consortium's effort, led by @aphillippy and Justin Zook, to assemble a complete diploid human genome, published in @CellCellPress today. I hope that our work on the Indian reference
Mile Sikic
@msikic
Aug 5
It is fashionable now to start an AI for science startup. Academia and corporations are probably too slow.
Jeff Dean
@JeffDean
Aug 5
Announcing Discovery Loop! I am very excited to announce that, along with my longtime friends and collaborators @Sanjay_Ghemawat, @OriolVinyalsML and @quocleix, we are founding Discovery Loop (@DiscoLoopAI), a Public Benefit Corporation whose mission is to automate machine
Mile Sikic
@msikic
Aug 5
I agree with @DaphneKoller and this captures my own thinking well. "To fulfill the promise of AI for the millions of patients lacking any meaningful treatment, we must direct our efforts toward the problem that really matters: the identification of biological mechanisms with
Daphne Koller
@DaphneKoller
Aug 4
Only about a quarter of human diseases have an approved therapy. By some estimates it's a few percent. Most of those treatments slow a disease rather than stop it. Closing that gap is what the AI-cures-everything story promises. Build a system smart enough and the cures hidden