
Marc Ghanem
@marcghanem
Machine Learning Postdoctoral Scholar @Stanford | MD ‘23
ID: 126329020
https://www.linkedin.com/in/marcghanem777/ 25-03-2010 14:16:44
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New Nature Neuroscience Reconstructing language from fMRI scans, a significant advance in brain-computer interface. And the need "to enact policies that protect each person's mental privacy." [Used GPT-1] nature.com/articles/s4159… Jerry Tang Alexander Huth Amanda LeBel Shailee Jain
![Eric Topol (@erictopol) on Twitter photo New <a href="/NatureNeuro/">Nature Neuroscience</a>
Reconstructing language from fMRI scans, a significant advance in brain-computer interface. And the need "to enact policies that protect each person's mental privacy." [Used GPT-1]
nature.com/articles/s4159… <a href="/jerryptang/">Jerry Tang</a> <a href="/alex_ander/">Alexander Huth</a> <a href="/AmandaLeBel3/">Amanda LeBel</a> <a href="/shaileeejain/">Shailee Jain</a> New <a href="/NatureNeuro/">Nature Neuroscience</a>
Reconstructing language from fMRI scans, a significant advance in brain-computer interface. And the need "to enact policies that protect each person's mental privacy." [Used GPT-1]
nature.com/articles/s4159… <a href="/jerryptang/">Jerry Tang</a> <a href="/alex_ander/">Alexander Huth</a> <a href="/AmandaLeBel3/">Amanda LeBel</a> <a href="/shaileeejain/">Shailee Jain</a>](https://pbs.twimg.com/media/FvDQ082acAA5zwJ.jpg)

Congratulations to my best friends Maria Younes and Marc Ghanem for winning the Outstanding Researcher Award at the Inaugural lebamuniv Research Day 2023, for their noteworthy research contribution. You guys raised the bar! 💪🏻💪🏻



🆕 Nature Biotechnology Continuous wearable ultrasound using #AI to auto-capture body deep tissue imaging and physiology during mobility for up to 12 hours nature.com/articles/s4158… @JackLin62608901 Sheng Xu group Joe Wang UCSD Engineering


Thrilled to share our latest machine learning studies just published in Neurosurgical Focus!🎉🌟 #AI #clinical_AI Mayo Clinic Graduate School of Biomedical Sciences Mayo Clinic Neuro Mohamad Bydon, M.D. Bernard Bendok, MD Dr. Alfredo Quiñones-Hinojosa Michael J. Link, MD Oluwaseun Akinduro kingsley Abode-Iyamah Jamie Van Gompel MD Michelle J. Clarke




IIH highest gradient ever reported put together by superstars Marc Ghanem and Kareem M. El Naamani, MD Jefferson Neurosurgery Thomas Jefferson University Jefferson Health #IIH #Sinusstenting



#ONSNew Transverse Sinus #Stenting for the Treatment of Idiopathic Intracranial Hypertension With a Pressure Gradient of 70 mm Hg: A Technical Note and Systematic Review by Marc Ghanem et al Jefferson Health Justin R. Mascitelli, MD, FAANS Laura K. Reed, MD Douglas Kondziolka #Idiopathicintracranialhypertension




Our most recent systemic review on the #AI revolution in Stroke Care: 10-year trend shows significant increase in #AI literature pertaining #stroke care especially in the area of stroke diagnosis. Nabeel Herial, MD, MPH, FAHA, FAAN World Neurosurgery Journal Jefferson Health pubmed.ncbi.nlm.nih.gov/38185459/

Just published in EIC of the JNSPG our series of indirect CCFs ( Type B,C,D) through different routes TA, TV, SOV : 1- 77 cases , 71 treated only with Onyx 2- Occlusion rate 100% in TV and SOV and 75% in TA 3- Recurrence rate 0% SOV, 5.3% TV, 25% TA Put together by Kareem M. El Naamani, MD


Machine learning analysis of papers that the most successful (from NIH perspective) anesthesiologists publish. Fun little project while Marc Ghanem was waiting for his postdoc to begin. sciencedirect.com/science/articl… Stanford Anesthesiology


Provocative paper alert: We trained a foundation AI model (developed by Nigam Shah et al.) to generate proteomics data. No need to draw blood. We can now approximate proteomics data in millions of patients at the price of electricity. @briefingsbioinfo academic.oup.com/bib/article/25…

Using multimodal A.I. to more accurately predict a person's risk of cancer (and other conditions) by combining proteomics and electronic health records nature.com/articles/s4225… Nima Aghaeepour Nature Machine Intelligence open-access



Excited to share our new paper in Nature Medicine! Prematurity is the #1 cause of death in kids under 5. We show that AI can do more than predict outcomes — it can guide critical treatment decisions to improve outcomes. Press release: med.stanford.edu/news/all-news/…
