Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
Computational mining the anticancer potential of non-oncology drugs
By building a machine learning model to combining knowledge of cancer genetics and network biology, we developed a personalized method to recommend FDA approved non-oncology drugs for cancer treatment.
Targeting Stem Cells in Medulloblastoma
Here, we tested the hypothesis that OLIG2, a key transcriptional regulator of neural development, plays a crucial role in maintaining cancer stem cells (CSC) in medulloblastoma tumors that can be exploited using a new type of targeted therapy.
Improving Post-Separation Suicide Attempt Prediction Models for Transitioning Service Members
Machine learning can improve identification of service members and Veterans at highest risk for suicide in the initial years following separation from military service. Continued work, though, is needed to improve the applicability of machine learning models to guide intervention efforts.
Targeting Cell Fate Transitions in Medulloblastoma: Precision and Context Matter
Research from my lab led by Kinjal Desai, out today in Nature Communications, probes cell fate transitions in the medulloblastoma hierarchy. By blocking OLIG2, which drives the transition from quiescence to proliferation in the neoplastic stem cells, we block de novo tumour formation and regrowth.
Bridging optofluidics and plasmonic nanotechnology for sustainable photocatalytic water purification
This study explores the innovative use of planar optofluidic microreactors directly packed with Au/TiO₂ nanoflowers to enhance photocatalytic water purification, emphasizing the potential of integrated optofluidic systems with plasmonic effect for sustainable water treatment and energy applications.
Unlocking the power of dynamic tariffs in the retail electricity market
In this study, we explore the role of dynamic pricing in enhancing electricity market efficiency, improving system reliability, and mitigating price volatility in an era of increasing renewable energy integration.
