Head of bioinformatics @MDC_berlin/@BIMSB_MDC 🛠 loves genomics, R, data science, machine learning, visualization & 🎣. also @arcas_ai
Berlin
Joined November 2014
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Published📘 "Computational genomics with R" is now available from CRC press. Check out if you want to learn #machineLearning #stats #Rstats #genomics #ChIPseq #rnaseq #BSseq. Big thanks to @VedranFranke @BoraUyar & Jona Ronen, each contributed a chapter. routledge.com/Computational-…
The private, multimodal AI agent platform for clinical & scientific research aakalin.medium.com/the-priva…
Can an ECG reveal whether a heart looks older than expected?
We explored ECG-derived biological age as a marker of cardiovascular disease burden.
The idea is simple:
train a model to learn “normal ECG aging” from healthy subjects, then ask whether disease shifts the ECG
Preprint: medrxiv.org/content/10.64898…
Altuna Akalin retweeted
Start the week with cutting-edge science! 🔬✨
📣 Join us next Monday for our Invited Lecture by Dr. @AltunaAkalin, who will discuss how AI is revolutionizing biomedical research.
Attend online at
us06web.zoom.us/webinar/regi…
Altuna Akalin retweeted
Deep Learning Integrates Multi-Omics for Precision Oncology Decision Making
Flexynesis uses #deeplearning to evaluate multi-omics data as well as specially processed texts and images, including CT or MRI scans
@AltunaAkalin
#multiomics #precisiononcology
hubs.li/Q03JyMFq0
Altuna Akalin retweeted
introducing mitte 1.0.
AI creative suite, built for precision.
photorealistic scenes. perfect product placement.
video and sound.
check us out on @ProductHunt today.
Altuna Akalin retweeted
We benchmarked PocketVina across four widely used datasets (PDBbind, PoseBusters, Astex, DockGen), and introduce TargetDock-AI — a large-scale benchmark of >500K protein–ligand pairs with activity labels from PubChem.
(5/n)
Altuna Akalin retweeted
I'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)
Altuna Akalin retweeted
All results, code (MIT License), and data are open and available:
📄 Paper: arxiv.org/abs/2506.20043
📦 Data: zenodo.org/records/15733460
💻 Code: github.com/BIMSBbioinfo/Pock…
Huge thanks to co-authors @AltunaAkalin, Bora Uyar, and @vedranfranke!
Altuna Akalin retweeted
Happy to announce the first public release of rolv app.
Rolv is your AI-powered research assistant for life sciences! It provides a new way to accelerate data analysis, literature reviews, and hypothesis generation.
✨ Core Features:
AI-Assisted Data Analysis: Ask data analysis questions, rolv desktop is integrated with your data
Local Data Analysis: Your data stays secure on your device—no cloud dependency for analysis.
PubMed integration: Get PubMed backed answers to your queries.
Dataset Search Integration: Find the relevant datasets you need for your analysis.
Create AI-Assisted Analysis Workflows: Data analysis is not linear; build complex workflows using the graph interface and natural language.
Ask A Human Feature: AI gets you far, but sometimes you need human expertise. When you're stuck, connect with data analysis experts through our platform.
📥 How to get access
Request access to the platform here rolv.io/access
Download the Rolv desktop app and start analyzing. See releases and docs here: github.com/rolv-io/rolvapp/r…
Happy to announce the first public release of rolv app.
Rolv is your AI-powered research assistant for life sciences! It provides a new way to accelerate data analysis, literature reviews, and hypothesis generation.
✨ Core Features:
AI-Assisted Data Analysis: Ask data analysis questions, rolv desktop is integrated with your data
Local Data Analysis: Your data stays secure on your device—no cloud dependency for analysis.
PubMed integration: Get PubMed backed answers to your queries.
Dataset Search Integration: Find the relevant datasets you need for your analysis.
Create AI-Assisted Analysis Workflows: Data analysis is not linear; build complex workflows using the graph interface and natural language.
Ask A Human Feature: AI gets you far, but sometimes you need human expertise. When you're stuck, connect with data analysis experts through our platform.
📥 How to get access
Request access to the platform here rolv.io/access
Download the Rolv desktop app and start analyzing. See releases and docs here: github.com/rolv-io/rolvapp/r…
🚑✨ Our new research in @SpringerNature journal npj Digital Medicine shows that large language models—including a RAG-enhanced one—accurately triaged, referred and even suggested diagnoses for 2,000 real emergency-department cases.
🩺 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
Altuna Akalin retweeted
Just finished module 1 on AI-assisted data analysis and was amazed by @rolv_io. Made it incredibly easy to visualize gene expression heatmaps and apply ML to methylation data. Thanks @AltunaAkalin and team!
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…
Altuna Akalin retweeted
#BIOINFOCONGRESS VII kapsamında, 23 Mart 2025 tarihinde 14.00-15.00 saatleri arasında Sayın Dr. Altuna Akalın (@AltunaAkalin) "AI-assisted Data Analysis for Biology” konulu konuşmasını gerçekleştirecektir.
🔗 Kayıt Formu: lnkd.in/deTRf2qK
Altuna Akalin retweeted
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…
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