Prajwal Ghimire

356 posts

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Prajwal Ghimire

Prajwal Ghimire

@PrazNeuro

Neurosurgeon-Scientist | AI, Brain Cancer and Digital Health Researcher | Ambidextrous 🧑‍⚕️| Investor | Author |🇳🇵🇬🇧 |

London, UK Se unió Mart 2012
1.2K Siguiendo991 Seguidores
Prajwal Ghimire retuiteado
nature
nature@Nature·
Nature research paper: Non-invasive profiling of the tumour microenvironment with spatial ecotypes go.nature.com/4wf1BFl
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Eric Topol
Eric Topol@EricTopol·
We've known how important the tumor microenvironment is for cancer progression and treatment, but we never had a non-invasive blood test to assess it. Today, as reported @nature, one has been discovered nature.com/articles/s4158…
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npj Digital Medicine
npj Digital Medicine@npjDigitalMed·
Building strong medical AI means large datasets. But in healthcare, data is hard to get. A new study shows you may not need it. By focusing training on key clinical concepts, a vision-language model achieved state-of-the-art performance using just 1% of the typical data while preserving its reasoning ability. What do we think of this shift? Does progress in medical AI come less from more data and more from teaching models what actually matters? nature.com/articles/s4174…
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Nature Methods
Nature Methods@naturemethods·
Multi-Embed is an interpretable framework that enables integrated analyses of histological images and multilayer molecular profiles. nature.com/articles/s4159…
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Lea Alhilali, MD
Lea Alhilali, MD@teachplaygrub·
1/Do radiologists sound like they are speaking a different language when they talk about MRI? T1 shortening what? T2 prolongation who? Here’s a translation w/an introductory thread to MRI.
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npj Digital Medicine
npj Digital Medicine@npjDigitalMed·
The operating room is one of the hardest environments for AI: constant motion, multiple devices, and high stakes. There is really zero room for error. But general-purpose models are not built for that reality. A new study introduced ORQA, a specialized multimodal foundation model that understands surgical scenes using video, audio, and structured data. It significantly outperformed generalist AI systems and was designed in multiple sizes for real-world deployment. How do we continue building systems specifically trained for the complexity of care? nature.com/articles/s4174…
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HimalayaAI
HimalayaAI@HimalayaAILabs·
We are proposing the Nepal AI Sangraha—a sovereign national data repository for public access to datasets and models Inspired global initiatives like India’s AIKosh and the open-source power-house of Hugging Face, this platform will host anonymized & non-sensitive public dataset
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Lea Alhilali, MD
Lea Alhilali, MD@teachplaygrub·
Can't remember the types of craniotomies off the top of your head?   Do you need another thing to memorize like you need a hole in your head?   Here's a quick figure with a review of some common craniotomies to help you out!   Let’s dig deeper into these holes!   Frontal: For large midline anterior and sometimes middle skull base lesions   Temporal: For middle cranial fossa lesions, including intra-axial lesions in the mesial temporal lobe 
Parietal: For mid to posterior cerebral hemisphere lesions while sparing the motor and sensory cortices.   Parietal interhemispheric approach for parafalcine, medial parietal, and splenial lesions. Parietal transcortical route for intra-axial lesions through the functionally “silent” superior parietal lobule   Pterional (frontotemporal): Access to the frontal lobe, temporal lobe, and Sylvian fissure and allow for direct visualization of the microvasculature surrounding lesions in the suprasellar cistern
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Denis Wirtz
Denis Wirtz@deniswirtz·
Mapping nerves in a whole embryos. We find that across species and development stages, embryonic nerves display (beautiful) fractal geometry. More here: biorxiv.org/content/10.648…
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Nathan Anderson
Nathan Anderson@rementurus·
Our paper is out! This has been years in the making. We found that mental imagery and perception do share a neural substrate, but we see it in in higher-order transmodal networks rather than earlier sensory systems. Check it out! doi.org/10.1016/j.neur…
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Agustin Ibañez
Agustin Ibañez@AgustinMIbanez·
Aging clocks may be shaped by neurosyndemics, multiple interacting physical and social real-world environments jointly influencing brain health. Out in Nature Medicine (nature.com/articles/s4159…), we assessed 18,701 participants from 34 countries, showing that the combined aggregate-level exposome (73 physical, social, and political factors measured at country-level) predicts multimodal brain aging far better than isolated exposures (up to 15-fold more variance). Moving beyond single risks, we provide evidence that synergistic, nonlinear exposome burden accelerates brain clocks across health and disease, with physical exposures linking more strongly to structural brain aging and social exposures to functional brain aging. Exposome burden increased the risk of accelerated brain aging by 3.3–9.1-fold, in some cases exceeding the effects associated with dementia, and these findings held in out-of-sample, longitudinal, individual-level variation, and sensitivity analyses. Thus, the pace at which the brain ages may be shaped by syndemic environmental and societal conditions, calling for much more intersectoral policies. Congrats @AgustinaLegaz Sebastian Moguilner @HernHdezL & all coauthors. 1/5👇 @GBHI_Fellows
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Nicholas Fabiano, MD
Nicholas Fabiano, MD@NTFabiano·
Holding hands with a loved one reduces pain via increased brain-to-brain coupling.
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Satya Nadella
Satya Nadella@satyanadella·
We’ve trained a multimodal AI model to turn routine pathology slides into spatial proteomics, with the potential to reduce time and cost while expanding access to cancer care.
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Science Magazine
Science Magazine@ScienceMagazine·
As we sleep, our bodies may be quiet and largely immobile—but our brains are highly active. A special issue summarized recent insights into the basic mechanisms underlying sleep and the many functions our brains perform during it. Learn more on #WorldSleepDay: scim.ag/4sFbutI
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npj Digital Medicine
npj Digital Medicine@npjDigitalMed·
Can digital cognitive training improve working memory? A meta-analysis of 45 neuroimaging studies finds computerised working memory training produces moderate behavioural gains and measurable changes in brain activity, supporting its potential as a scalable digital tool for cognitive health. nature.com/articles/s4174…
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