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The Vega Surgical Neuro-Oncology (SNO) Outcomes Laboratory was proud to represent at the 2025 Congress of Neurological Surgeons (CNS) Annual Meeting in Los Angeles, CA, with multiple invited and podium presentations highlighting our team’s ongoing efforts to advance brain tumor care through surgical...

Alumni Drs. Caleb Dresser, Tess Wiskel, and Kimberly Humphrey and current fellow Catharina Giudice attended the COP28 Climate Negotiations in Dubai, UAE.

India 2047 was co-hosted by  The Lakshmi Mittal and Family South Asia Institute and the  Salata Institute for Climate and Sustainability at Harvard University  in collaboration with the  Ministry of Environment, Forest and Climate Change, Government of India. Led by Program Director Dr Satchit...

Four mentees took the stage at SCAI 2025, presenting on topics including: trends and outcomes of PCIs performed in ambulatory surgical centers ( Katerina Dangas), differences in PCI follow-up care for black vs. white patients ( Frank Medina), outcomes of CLTI among Medicare beneficiaries ( Maxime...

The flow cytometry core has created a one of its kind nanoparticle characterization facility. Check out all the new equipment to assist with characterizing your particles.

Dr. Heng will be an invited speaker for the "Sex and gender differences in cancer" symposium to be held at the OSSD Meeting in June 2025.

This September we were joined by our new RA, Jane! Jane joined the lab after completing her undergraduate studies at Muhlenberg College with degrees in Neuroscience and Philosophy. She is excited to bring her passion for scientific inquiry to the lab. Welcome, Jane!

A study co-led by Dr. Heng, "Circulating Epstein-Barr virus microRNAs associated with Hodgkin lymphoma prognosis" has been selected for Poster presentation at AACR 2025.

Alice has joined the lab to help us better understand the contribution of exosomal miRNAs to elucidating progression and resilience against Alzheimer's disease pathology.

Konstantinos Stefanakis, representing the Mantzoros Lab, won first place award among posters from all BILH affiliated institutions for his work on non-invasive machine learning based models for the detection of steatohepatitis.