Michal Rosen-Zvi
@michal_zvi
Followers
278
Following
1K
Media
40
Statuses
167
A proud mom & grandma; Wife; Love science; Fascinated by humans; Believe that AI tech at the๐ of top scientists is the ๐ to unlock the secrets of maladies๐ฆ ๐
Joined August 2020
I'm excited and humbled to share that I've been appointed Adjunct Professor in #computational #medicine at @Hujimed. I feel blessed to join the faculty while continuing my role at @IBMResearch as a co-leader of the global team aiming at #acceleration of #drugdiscovery
7
4
56
๐ข#BSCSeminar: Multi-view and Multi-modal Foundation Models for Drug Discovery ๐ฃ @michal_zvi, @IBMResearch ๐ 30 January โก https://t.co/3uP9d8Vomb
#WomeninBSC #EquityinBSC
@Bioinfo4women @SOMM_alliance
0
4
6
[1/5] Rethinking SVGs, the implicit way โ meet NeuralSVG! ๐จโจ An implicit neural representation for generating layered SVGs from text prompts. ๐ง Powered by SDS and nested-dropout for ordered shapes ๐๏ธ Enables inference-time editing like color palette & aspect ratio Read more on
8
52
297
Can a unified multi-modal AI model effectively handle diverse drug discovery tasks across different molecular entities while achieving state-of-the-art performance?@arxiv @IBMResearch "MAMMAL - Molecular Aligned Multi-Modal Architecture and Language" โข Drug discovery is an
0
2
9
It was a great pleasure to co-organize the AI for Drug Discovery Innovation Forum at @BU_Computing. Huge thanks to @FeixiongCheng , Jianying, @YPaschalidis , and @djosephmc for co-organizing, thanks panelists for your valuable insights on the gaps and needs in open innovation.
0
1
7
Excited to co-organize this AI Drug Discovery Conference with @michal_zvi @jianying_hu and looking forward exciting keynote talks by our fabulous speakers and our Drug Discovery panel at Boston University in tomorrow https://t.co/hd91GSIruW
0
1
14
I'm happy to share the new #GenAI for #DrugDiscovery #foundationModel that we released to @huggingface (model weights) and shared in @github (opensource code), all details in the @arxiv paper that is shared below! @YoelShoshan @EfratHex @PolaczekSagi
Can a unified multi-modal AI model effectively handle diverse drug discovery tasks across different molecular entities while achieving state-of-the-art performance?@arxiv @IBMResearch "MAMMAL - Molecular Aligned Multi-Modal Architecture and Language" โข Drug discovery is an
0
1
5
MAMMAL: Molecular Aligned Multi-Modal Architecture and Language for Drug Discovery @IBMResearch โข The MAMMAL framework introduces a multi-modal model designed to tackle diverse drug discovery tasks, pre-trained on 2 billion samples across proteins, small molecules, and gene
2
7
24
Today is the #worldkidneyday ๐ฉโโ๏ธ ๐ฐ ๐พ and the best timing to share that I am blessed to give a plenary lecture at @ISNWCN . And also to thank the great collaborators, @cjweight @NourAbdalllah &team from @ClevelandClinic with whom I explore kidneys. https://t.co/EIb4fpXKzL
theisn.org
0
5
12
We summarized how we may leverage AI and open science approaches to identify disease-modifying drugs and precision medicine for Alzheimerโs disease from @NIHAging thanks @DrJeffCummings @feiwang03 and many others @CCLRI
https://t.co/FxA1vRpS0t
2
5
46
It was a pleasure visiting Sammy Ofer Stadium for @IBMResearch in Israel kickoff of 2024. The professionalism, commitment and resiliency of the team is hurt-warming @mmdanziger1 @EfratHex @PolaczekSagi @ehudkar
0
0
6
Today, I have a question. A pressing question. For some Western feminists. How can you remain silent, when women and girls are raped, tortured, their bodies carried around naked and spat on by bearded men shouting Allah Akbar? Then you can never call yourself a feminist again.
4K
14K
44K
I urge you to watch the amazing speech of my friend Rachel Goldberg. Her son Hersh is held captive by Hamas "Imagine yourself not knowing whether your own child bled to death 18 days ago, or if he died yesterday, or if he died 5 minutes ago.." ๐ https://t.co/gpzjUSIQvw
ynet.co.il
ืจืื ืืืืืืจื-ืคืืืื, ืืื ืฉื ืืจืฉ ืฉื ืืืฃ ื-7 ืืืืงืืืืจ, ืืกืืืจื ืื ืืื ืืืืื: "ืืืืื ื ืฉืืฉ ืืืื ืฉืืื ืจืง ืฉืชื ืืคืฉืจืืืืช. ืื ืฉืืชื ืืชืื, ืื ืฉืคืืฆืฆื ืืื ืืช ืืืจืืข ืืืืคื ืืชืื, ืืืืฉ ืื ืืืืข ืื ืืืืืชื ืืืืืช ืขื ืืื ืืจ...
2
8
23
ืื ืจืง ืกืืืื ืืื ืืื ืื ืคืจืืคืกืืจืื ืืคืืจืกืืื. ืืืืงื ืืืจื ืืืกืื ืืืืจืื ืฉืื ื ืฉื ืืื ืืืฉืืืืช ืืืงืืืื ืืฉืชืืจืจ. ืืื ืืืืืก, ืื ืืงืืคืืกืื ืืืื ืฉืื ืื ื ืืื ืคืืืขืื ืขืืฉืื ืืฉืื ืืืื ืืชืงืืฃ. ืืกืชืืจ ืฉืฉืื ืืืจืืข ืื ืืืืืืข ืืกืคืืง ืืฉืื ืขืืืื ืื ืืกืืจื ืื ืืฉื ื. ืืื ืื ื (ืื ืืืงืืืืื ืฉืืื ืื ื) ืืจืฅ ืืืจืช.
33
48
654
Listen to Dr. Gilad Chen, Medical director of a pediatric emergency department and Major in IDF. A doctor in a combat medical unit, on the 11th day since the Oct 7th terror attack, still collecting the dead from that horrible day #HamasisISIS - it will kill you
1
3
7
Very excited to visit โฆ@IBMResearchโฉ at #southafrica and hear from โฆ@solo_assefaโฉ about the inspirational establishment of the lab and itโs partners close to 10 years ago. We came to the โInvent Whatโs nextโ by the lab, headed by Dr Sibusisiwe Makhanya. Just started!!
0
0
4
Have you ever wondered: can I estimate ATE while being interpretable ? Check out this new blog post where I present the research I had the chance to do while interning at @IBMResearch. Thanks to my co-authors Liran Szlak, @ehudkar @cholmesuk @ShimoniYishai
https://t.co/UjGrFLzmty
medium.com
A model for interpretable estimation of population-level causal effect that can handle high-dimensional datasets.
0
4
10
@agingdoc1 @KristopheDiaz Honor to be co-author with @DrJeffCummings on this important work for Alzheimerโs trial innovation!! https://t.co/5M2962mumf
2
1
11
Now, we can publish one manuscript across Nature, Science and Cell in one Journal???
6
3
31
We can all agree weโre at a unique and evolutionary moment in AI, with enterprises increasingly turning to this technologyโs transformative power to unlock new levels of innovation and productivity. At #Think2023, @IBM unveiled watsonx. Learn more: https://t.co/cQPLQYEmmA
3
51
122
Thanks @EricTopol for sharing what we found regarding number of papers on #xai! Covid seems to have accelerated the development of explainable #AI by around 9 months! Thanks @BarrosVesna from @IBMResearch, and great colleagues from @MLFPM_ITN, @BDVA_eu for the collab!
There has been a rapid acceleration of explainable #AI work in biomedical research over the the past few years, as seen from this systematic review of over 1600 papers https://t.co/FaeWW6J9Y5
2
1
8