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Read about the recent study aiming to develop an automated algorithm to noninvasively distinguish #gliomas from other intracranial pathologies, preventing misdiagnosis and ensuring accurate analysis before further #glioma #assessment. bit.ly/42UA3cv

Article by Pascal Zinn, M.D., Ph.D., FAANS, Suchet Taori, et al, highlighting the potential of circulating biomarkers in managing high grade gliomas makes cover of Journal of Neuro-Oncology. Check out article at link.springer.com/article/10.100…

Looking forward to the spring meeting @sbns #SBNSBelfast2025 I would like to thank SBNS for the bursary award🥇

Excellent thread on brain anatomy in MRI by Lea Alhilali, MD as always!

#sbnsbelfast2025 Team King's Neurosurgery at the SBNS Spring Meeting, Belfast delivering fantastic talks. José Pedro Lavrador Prajwal Ghimire Pandu Seetahal

Excellent talk by Prajwal Ghimire today in the SBNS #neurosurgical #oncology session. #brain #tumour #immunotherapy #imaging #AI

What an incredible conference! Huge thanks to our organisers, speakers, attendees, and sponsors for making it such a success. See you in Bristol! PNJ Photography #SBNSBELFAST2025

Honoured to receive the Best Oral Presentation Prize at #SBNS2025Belfast for my talk: “Radiogenomic AI model predicts cancer immune signature in IDH-wildtype glioblastoma.” Thanks to SBNS and my mentors Dr. Thomas C Booth & Dr Modat. #AIinMedicine #Glioblastoma #NeuroOnc

AI model predicts risk of recurrence on post-operative pediatric glioma! Longitudinal Risk Prediction for Pediatric Glioma with Temporal Deep Learning NEJM AI Model: Resnet18 -> MHA -> LSTM github.com/AIM-KannLab/Te… Test: 3 datasets of 715 children and 3,994 MRIs AUC: 75-89%

Neurovascular AI model predicts the risk of aneurysm rupture from multimodal data including Imaging features based on wall enhancement! Journal of Neurosurgery by Team University of Iowa Imaging: HR-MRI Data: Radiomics, PHASES score, Size-ratio, wall-enhancement metrics, age 👉76% Accuracy

Excellent start at the Stanford AIMI Symposium 2025 Stanford AIMI #AIMI25 Keynote on "Closing the Gap between AI Capabilities and Health System Readiness" to kick it off!

A human immunome assessment in 100 healthy people at many time points over 2 years finds 4 distinct and stable immunotypes. e.g. Type 1 in younger females w/ hyperimmune and increased inflammatory markers science.org/doi/10.1126/sc…

Multilabel deep learning network to identify & quantify acute & chronic brain lesions on multisequence MRI after acute ischemic stroke doi.org/10.1148/ryai.2… #NeuroRad #stroke #MachineLearning

Comprehensive overview of #RAG applications that enable knowledge-based #LLM responses in radiology doi.org/10.1148/ryai.2… Universität Freiburg #NLP #AI #ML

Original Article by D. Tak et al.: Longitudinal Risk Prediction for Pediatric Glioma with Temporal Deep Learning nejm.ai/4jNG7bE #AIinMedicine

Thrilled to share that our paper has been accepted for an oral presentation in the #CLINICCAI track at MICCAI 2025 in Daejeon, South Korea! Title: “Predictive Radiogenomic AI Model for Patient Stratification in Brain Tumor Immunotherapy Trials”

This month marks 30 years since the Brook Regional Neuroscience unit, founded in 1950, and the Guys/Maudsley Neuroscience unit, founded in 1952, were amalgamated to create King's Neuroscience Centre at King's College NHS #Kings30

Wish you had a sixth sense to localize that sixth cranial nerve palsy?   Feeling six feet under when you see a sixth nerve deficit?   Here’s a how to locate the lesion in a sixth cranial nerve palsy!   Just remember the Six Syndromes of the Sixth Cranial Nerve!   One syndrome for

Excited to start welcoming invited speakers and delegates in a few short hours to kick off the 30th anniversary academic meeting #Kings30

Team King’s celebrated 30 years of our Clinical Neuroscience Centre this week. We hosted a special, two-day academic meeting at the Fetal Medicine Institute, located near to our Denmark Hill site, bringing together experts from across the world. King's College NHS