Try 𝐕𝐨𝐥𝐭𝐑𝐨𝐧 🤖-> our spatial multi-omics package now has more interactivity - Analyze molecular resolution data - integrate pathology images with spatial transcriptome - investigate tissue niches with interactively Kudos to Artür Manukyan tutorials: bioinformatics.mdc-berlin.de/VoltRon/

𝐕𝐨𝐥𝐭𝐑𝐨𝐧 can now work with many spatial omics technologies including: 𝐎𝐩𝐞𝐧𝐒𝐓, Visium & Xenium (10x Genomics ), GeoMx & CosMx (@nanostringtech ), STOmics (@mgi_technology), GenePS, PhenoCycler (Akoya Biosciences), DBIT-Seq & more. See how here: bioinformatics.mdc-berlin.de/VoltRon/import…

Chris Mason 10x Genomics @nanostringtech MGI Akoya Biosciences Artür Manukyan do you have spatial omics projects? try it and let us know, we can always improve things

There are 300+ anticancer drugs, many work on and are approved only for certain types of cancer. 🚀 onconaut.ai is the platform for navigating the complex landscape of personalized cancer therapies. Given a patient profile, the platform can currently: - match

Technology Feature in nature: ChatGPT for science: how to talk to your data nature.com/articles/d4158… 1/n Examples in the thread

How does AI tackle complex medical cases? 🏥 We tested a persistent cough case in a 75-year-old woman. 🤔 Can AI match up to the actual diagnosis? Discover the surprising results and insights! 🌟 Thread 🧵👇

🚑 1/6: Emergency Care Overload Emergency departments see millions of visits annually in the US alone, but did you know up to 35% of these are unnecessary? That’s $20 billion in avoidable costs! The healthcare system is overwhelmed, and patients are caught in the middle.

𝗔𝗜 𝘃𝘀 𝗽𝗲𝘁 𝘀𝘆𝗺𝗽𝘁𝗼𝗺𝘀:  We tested our AI-driven symptom checker on dogs, and it worked—surprisingly well. However, the surprise didn’t last long once we realized, that even though the platform was intended for human conditions it could still draw from a vast pool of

I gave a keynote at the European Bioconductor Conference University of Oxford , here are the key takeaways! 1/n 🧵

We're kicking off this week with some #singlecell track highlights from the upcoming #foglive event! (hubs.la/Q02PXCP90) First up is Altuna Akalin from Max Delbrück Center, presenting an #AI toolkit for #drugdiscovery that is working to save cost and time in the lengthy process

𝗰𝗮𝗻𝗰𝗲𝗿 𝘁𝗿𝗶𝗮𝗹 𝗺𝗮𝘁𝗰𝗵𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗵𝗲𝗹𝗽 𝗼𝗳 𝗟𝗟𝗠𝘀 1/This paper presents an innovative method to enhance oncology trial matching by leveraging large language models (LLMs) to extract and organize genomic biomarkers from clinical trial documentation. 2/

𝗖𝗮𝗻 𝗔𝗜 𝗱𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗲 𝘄𝗵𝗲𝗻 𝗮 𝗽𝗮𝘁𝗶𝗲𝗻𝘁 𝘀𝗵𝗼𝘂𝗹𝗱 𝘃𝗶𝘀𝗶𝘁 𝘁𝗵𝗲 𝗘𝗥 𝗼𝗿 𝘀𝗲𝗲 𝗮 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁? 𝗪𝗵𝗮𝘁 𝗮𝗯𝗼𝘂𝘁 𝗱𝗶𝗮𝗴𝗻𝗼𝘀𝗶𝗻𝗴 𝗱𝗶𝘀𝗲𝗮𝘀𝗲𝘀? 🩺🤖 𝗧𝗵𝗶𝘀 𝗽𝗮𝗽𝗲𝗿 explores how advanced AI, particularly Large Language Models

This paper introduces 𝐂𝐨𝐦𝐩𝐚𝐬𝐬𝐃𝐨𝐜𝐤, a novel method that improves the accuracy and reliability of deep learning-based molecular docking by incorporating physico-chemical and bioactivity (PCB) features it addresses a critical limitation of current deep learning docking

Key Findings: 💪 Analysis of the PDBBind dataset reveals significant noise in PCB features, emphasizing the need for more robust training data. ⚗️Fine-tuning with Compass Score enhances the model's ability to predict ligand conformations with favorable PCB properties. 🔶Relying

Check out the video!!, how easily you can zoom in/out large tissue images !! Advanced interactive image visualization is coming to R via VoltRon. The image in the video is 30000x20000 📣 New update is coming soon, which allows manipulating h5/zarr based large images for fast

Adults under age 50 have been cancer at increasingly higher rates over the last few decades. The latest AACR progress report estimates that 40% of all cancer cases are associated with modifiable risk factors such as tobacco use, diet, weight, exercising, ultraviolet radiation

Najnowsze wiadomości! 🚀 2nd Opinion teraz mówi po polsku! 🇵🇱 Zadawaj i odpowiadaj na swoje pytania medyczne, sprawdzaj objawy i otrzymuj jasne wyjaśnienia—wszystko w swoim własnym języku! TLDR; 2ndOpinion now speaks Polish!

How can AI simplify cancer treatment? Altuna Akalin and his team developed Onconaut, an AI tool that helps to find personalized therapies faster by analyzing genetic data. 💡🧬 #CancerResearch #AI #PrecisionMedicine mdc-berlin.de/news/news/navi…

I'm happy to announce our next computational genomics course for 2025. The deadline for application is January 30th 2025. We will cover: - AI-assisted data analysis - Spatial omics analysis - Multi-omics data analysis. More info is here: bioinformatics.mdc-berlin.de/compgen/2025/

This is the last chance to apply for our computational genomics course, which includes an AI-assisted data analysis module. Deadline in 9 days. More info at compgen.mdc-berlin.de