Ismail Moghul

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Ismail Moghul

Ismail Moghul

@Ismail_Moghul

Bioinformatics PhD Researcher @ Medical Genomics Lab, Cancer Institute, UCL

City of London, London เข้าร่วม Şubat 2017
735 กำลังติดตาม284 ผู้ติดตาม
Ismail Moghul รีทวีตแล้ว
Charles Swanton
Charles Swanton@CharlesSwanton·
Proud to share our first TRACERx cancer study integrating epigenomics + genomics in NSCLC as co-drivers of tumor evolution. Led by not me but by the wonderful @NnennayaKanu, @F_gimenoval, @ccastignani6, @VanLooLab
Charles Swanton tweet mediaCharles Swanton tweet media
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Prof. Nikolai Slavov
Prof. Nikolai Slavov@slavov_n·
No driver mutations could be identified in 181 tumors. The authors do not know why. Perhaps, it's an algorithmic failure. Perhaps, it reflects non genetic contributions to carcinogenesis. What do you think ?
Prof. Nikolai Slavov tweet media
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Marios Georgakis
Marios Georgakis@MariosGeorgakis·
1⃣A comprehensive assessment of organ-specific proteomic aging clocks In an analysis of UK Biobank proteomic data, this study tested at scale the previously described organ-specific proteomic aging clocks. People with 8+ aged organs (>1.5SD for the respective clock) had a massive 8.3 times higher risk of mortality over a 17-year follow-up! 🔗nature.com/articles/s4159…
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Marios Georgakis
Marios Georgakis@MariosGeorgakis·
3⃣An AI multi-agent for bioinformatics PromptBio promises to offer a comprehensive AI pipeline for bioinformatic data analyses including standardized omics pipelines. Interested to see how successful these efforts to automate big data analyses are going to be. 🔗biorxiv.org/content/10.110… 🧑‍💻promptbio.ai/download.html
Marios Georgakis tweet media
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Marios Georgakis
Marios Georgakis@MariosGeorgakis·
5⃣Foundation Models of Behavioral Data from Apple Wearables Using data from 160,000 participants in the Apple Heart and Movement Study, this manuscript describes the development of foundation models for the analyses of 27 behavioral variables collected over 2.5B hours of wearable data with the Apple Watch and iPhone. The prediction for some disease traits is better than I would expect. 🔗arxiv.org/abs/2507.00191…
Marios Georgakis tweet media
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Viv
Viv@Vtrivedy10·
@hyhieu226 lmaaooo, need more of this in ML papers. I loved the writing style of yolov3, intro was hilarious also the graph literally just goes off the y axis and they just leave it to flex 😂
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Dr. Dominic Ng
Dr. Dominic Ng@DrDominicNg·
DeepMind just dropped a 106-page paper unveiling AlphaGenome. This single model could completely redefine how we discover disease-causing mutations and drug targets. This is massive. 🧵
Dr. Dominic Ng tweet media
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Eric Topol
Eric Topol@EricTopol·
A.I. is improving the accuracy of medical diagnoses. Today for inherited retinal diseases [IRD] (Eye2Gene vs retinal experts) nature.com/articles/s4225…
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Rithwik Jayasimha
Rithwik Jayasimha@thel3l·
Apple released a hearing aids feature for the AirPods Pro a while ago. I bought a pair for grandma, but then realized that the feature was geoblocked in India So we at @_lagrangepoint decided to unblock it. It ended up involving a leaky microwave and building a Faraday cage:
Rithwik Jayasimha tweet media
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Elfride De Baere
Elfride De Baere@elfridedebaere·
Excellent talk from @shahida_moosa highlighting the need for a global reference for phenotype variability in rare disease diagnosis. Featured Symposium (session 35) on AI to improve clinical diagnoses in Four Seasons Ballroom 2&3 #ASHG24 #AI #rarediseases
GestaltMatcher (.eth)@GestaltMatcher

Now presenting at @GeneticsSociety, how AI can improve clinical diagnosis. Listen to @thsieh_tw and @shahida_moosa now at ballroom 2&3

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Dr Dayyanah Sumodhee
Dr Dayyanah Sumodhee@DSumodhee·
Delighted to report that our paper 'Expert CONsensus on Visual Evaluation in Retinal disease manaGEment: the CONVERGE study' is now published in the British Journal of Ophthalmology. bjo.bmj.com/content/early/…
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Dun Jack Fu
Dun Jack Fu@DunJackFu·
Pegcetacoplan associated with slower growth of photoreceptor degeneration (PRD), RPE-loss, PRD in isolation, and RPE and Outer Retinal Atrophy. Our analysis of automatically-segmented quantitative OCT biomarkers out in @JAMAOphth based on OAKS & DERBY @ApellisPharma data.
Dun Jack Fu tweet media
JAMA Ophthalmology@JAMAOphth

Deep-learning spectral-domain optical coherence tomography analysis from DERBY and OAKS trials showed association with reduction of photoreceptor degeneration, RPE-loss, and RPE and outer retinal atrophy over 24 months. ja.ma/4c8Yjt2

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KonstantinosBalaskas
KonstantinosBalaskas@KonBalaskas·
The result of exceptional team efforts and tireless work by our wonderful team #BalaskasLab 🙏 Special thanks to @DunJackFu for his talent, skill and dedication that made this work possible. Most proud of our amazing team @Ismail_Moghul @npontikos
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