Elshad Hasanov, MD, PhD

Excited to share our upcoming presentations at #ASCO2026 from the @HasanovLab @OhioStatePIIO and collaborators.
This year, our team will present 12 studies spanning:
hasanov-lab.github.io/publications/
🤖 AI/ML precision oncology
🧠 RCC brain metastasis biology
🧫 Spatial & single-cell transcriptomics
🌎 Real-world outcomes research with ML models
💻 In silico clinical trial modeling
These projects reflect our 💻 #CodetoClinic 👩‍⚕️👨‍⚕️translational framework, integrating computational oncology, multi-omics, and clinical research to advance precision cancer care.
Grateful to our incredible trainees, collaborators, patients, and mentors who made this work possible. hasanov-lab.github.io/team/

@OSUCCC_James @ASCOPost @ASCO @KidneyCancer @kidneycan @urotoday @OncoAlert @oncodaily @OncLive

#KidneyCancer #BrainMetastases #PrecisionOncology #AIinOncology #SpatialBiology #SingleCell #TranslationalResearch

Excited to share our new #insilicoMetMap model, developed by our 🌟💫🌟 PhD student @PengLi_AI
🧠💻
We asked a different question: Can we learn from METMAP experiments and predict brain-metastatic potential for cell lines that have never been tested?
Creating #insilicoMetMap and identifying penetrant-like states and candidate biological targets for further experimental testing.
This is exactly how we envision #CodeToClinic: using existing experimental and multi-omics data to build computational models that can prioritize bench experiments, generate biological hypotheses, and potentially reduce the time and resources required for discovery.

Congratulations, Peng, and the entire @OSUCCC_James @OhioStatePIIO @OhioStateMedOnc team!

@NeuroOnc @ASCO

Our trailblazer @ZuhairMajeed presented #BrainMetCompass at the 2026 @NeuroOnc @ASCO #CNSMetastasesConference! 🧠🧭
💻 Try BrainMetCompass: …nmetcompass.share.connect.posit.cloud
🎯 PREDICT → PERSONALIZE → PREVENT

#BrainMetCompass is our #CodetoClinic ML model designed to predict an individual patient’s risk of developing brain metastases using clinical and tumor genomic data. Opening the door to personalized CNS surveillance, diagnosis at asymptomatic stage and ultimately prevention.

The model is patented by @OhioState and is available for licensing by interested sequencing companies. Proud of Zuhair and our @OSUCCC_James @OhioStatePIIO @OhioStateMedOnc team for taking another step from #CodetoClinic.

Our 🌟 PhD student @MostafaIHA is presenting two posters at the 2026 @NeuroOnc @ASCO #CNSMetastasesConference.
One highlights our single-cell and spatial characterization of renal cell carcinoma brain metastases, uncovering how tumor cells adapt to the brain microenvironment and interact with its immune and stromal landscape. bioRxiv preprint: pubmed.ncbi.nlm.nih.gov/42146564/

The second explores an interpretable machine-learning model integrating genomic mutations and copy-number alterations to predict survival across patients with brain metastases. academic.oup.com/noa/article/8/…

Proud to see Mostafa bringing together multi-omics, tumor biology, and AI #CodetoClinic as we work toward better understanding and treating brain metastasis.

Great work, Mostafa, and congratulations to the entire team @OSUCCC_James @OhioStatePIIO @OSUWexMed and our collaborators @UTMDAnderson @EmoryUniversity @Hacettepe1967 @EJonasch @bilenma @hanalioglu @ACasasent @nicholas_navin

#BrainMetastases #KidneyCancer #SingleCell #SpatialBiology #MachineLearning #PrecisionOncology

Congratulations to 💫 biostatistician @Tubitak scholar @semihaxozgul on a special milestone: concurrent publications in @myESMO @ESMO_Open and @NeuroOnc #NeuroOncAdvances, alongside her poster presentation at the 2026 SNO/@ASCO #CNSMetastasesConference! 🎉
Her work, “Era-Specific Prognostic Factors and an Interpretable Machine-Learning Survival Model for Renal Cell Carcinoma Brain Metastases,” brings together clinical oncology and interpretable AI to better understand outcomes and personalize prognostication for patients with RCC brain metastases.
Proud to see this work from our @OSUCCC_James @OhioStatePIIO @OhioStateMedOnc team, in collaboration with @UTMDAnderson, move from data → #CodetoClinic.
📄 ESMO Open: sciencedirect.com/science/articl…
📄 Neuro-Oncology Advances #cofirst @ZuhairMajeed : academic.oup.com/noa/article/8/…
💻 Interactive models: hasanov-lab.github.io/tools/rcc-bm/

Congratulations, Semiha, and the entire team! 👏

#BrainMetastases #KidneyCancer #MachineLearning #PrecisionOncology #SNO2026 #ASCO