Reposted by Altuna AkalinAhmet Sarigun @asarigun.bsky.social · 26/06/2025I'm excited to share our new preprint: PocketVina — a fast, scalable, and accurate multi-pocket molecular docking method. Docking remains essential in early-stage drug discovery, but recent deep learning–based approaches still face limitations in generating... Thread - (1/n) 144
Reposted by Altuna AkalinMax Delbrück Center @mdc-berlin.bsky.social · 04/07/2025AI can’t replace your doctor – but it might help you find the right one. New study by @al2na.bsky.social from #mdcBerlin: ✔️ 97% accuracy in specialist referrals ✔️ 82% in diagnosis ⚠️ Triage still needs work 👉 Interview: www.helmholtz.de/en/newsroom/... 👉 Study: www.mdc-berlin.de/news/news/ai... 034
Altuna Akalin @al2na.bsky.social · 09/05/2025full text: www.nature.com/articles/s41...nature.comEvaluating large language model workflows in clinical decision support for triage and referral and diagnosis - npj Digital Medicinenpj Digital Medicine - Evaluating large language model workflows in clinical decision support for triage and referral and diagnosis 000
Altuna Akalin @al2na.bsky.social · 09/05/2025🩺 Clinicians mostly agree with what the models spit out—what mattered was whether its advice would guide safe care, not whether every word matched the textbook. 🤖 AI isn’t replacing clinicians; it’s fast becoming the teammate we’ve been waiting for. #HealthcareAI 100
Altuna Akalin @al2na.bsky.social · 09/05/2025🚑✨ Our new research in @springernature.com journal npj Digital Medicine shows that large language models accurately triaged, referred and even suggested diagnoses for 2,000 real emergency-department cases. 💊🏥 131
Reposted by Altuna AkalinMax Delbrück Center @mdc-berlin.bsky.social · 04/02/2025Each cancer is different, and so are the specific treatment options. "Onconaut," an #AI-based tool developed by #mdcBerlin's @al2na.bsky.social and his team, is designed to navigate through the maze of options more efficiently. More: www.mdc-berlin.de/news/news/na... #WorldCancerDay #UnitedByUnique 0125
Reposted by Altuna AkalinAltuna Akalin @al2na.bsky.social · 07/01/2025Learn how to analyze spatial omics data! Join our computational genomics course in 2025. Application deadline 30th January. compgen.mdc-berlin.de 🖥️ 🧬 🧪 1116
Reposted by Altuna AkalinAltuna Akalin @al2na.bsky.social · 10/12/2024I'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/ 196
Altuna Akalin @al2na.bsky.social · 21/01/2025This 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 🖥️ 🧬 🧪 031
Altuna Akalin @al2na.bsky.social · 07/01/2025What will you learn: - Post-processing of spatial omics data - Automated and manual image registration - Niche clustering - Multiple workflows for different spatial data types and data conversion module by @arturmansl.bsky.social 001
Altuna Akalin @al2na.bsky.social · 07/01/2025Learn how to analyze spatial omics data! Join our computational genomics course in 2025. Application deadline 30th January. compgen.mdc-berlin.de 🖥️ 🧬 🧪 1116
Altuna Akalin @al2na.bsky.social · 24/12/20243️⃣ Deep learning for genomic data Integration: Flexynesis simplifies cancer research by offering 1,000s of deep learning workflows, accessible to everyone🧠 github.com/BIMSBbioinfo...github.comGitHub - BIMSBbioinfo/flexynesis: A deep-learning based multi-modal data integration suite that aims to achieve synesis in a flexible mannerA deep-learning based multi-modal data integration suite that aims to achieve synesis in a flexible manner - BIMSBbioinfo/flexynesis 000
Altuna Akalin @al2na.bsky.social · 24/12/20242️⃣ AI-assisted data analysis with our multi-talent API 🚀💻 at rolv.io. This topic received multiple questions, as the possibilities for productivity are endless. 100
Altuna Akalin @al2na.bsky.social · 24/12/2024 1️⃣ Our AI deployments in healthcare: Multiple participants asked about safety and our future plans for deploying these technologies in clinics. Explore the potential with onconaut.ai and 2ndopin.io 🤖💡onconaut.aiOnconaut: Navigating Personalized Cancer TherapiesExplore personalized cancer therapies with Onconaut, a research tool for navigating treatment options. 100
Altuna Akalin @al2na.bsky.social · 24/12/2024Last week, I had the pleasure to give a keynote at the annual HIBIT Bioinformatics conference in Istanbul, here are the points that intrigued the audience most: 131
Reposted by Altuna AkalinAltuna Akalin @al2na.bsky.social · 10/12/2024I'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/ 011
Reposted by Altuna AkalinArtür Manukyan @arturmansl.bsky.social · 16/12/2024Join our upcoming workshop to learn more about our view on AI-assisted bioinformatics, multi-omics integration and spatial multi-omics. The course is for both R and Python users!! 021
Reposted by Altuna AkalinMax Delbrück Center @mdc-berlin.bsky.social · 17/12/2024“Onconaut,” an #AI-based online tool that #mdcBerlin's @al2na.bsky.social has developed, helps oncologists and patients to find the most up-to-date and tailored treatment possible. @helmholtzai.bsky.social has now recognized it as the “Best digital resource.” More: www.mdc-berlin.de/news/news/na... 073
Altuna Akalin @al2na.bsky.social · 10/12/2024I'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/ 196
Altuna Akalin @al2na.bsky.social · 10/12/2024I'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/ 011