A new paradigm for generative AI drug discovery: more accurate shots on a much wider goal | TPM podcast #47
Move Fast and Try Not to Break Things: AI [...]
Large scale gene set ranking for survival-related gene sets
Abstract:Disease progression is closely linked to shifts in the [...]
Advantages of RNA in oncology R&D: Genialis’ CEO joins Tempus’ webinar
At the end of May, Genialis CEO Rafael Rosengarten, [...]
Prediction of sotorasib response duration and identification of clinically actionable resistance mechanisms using an RNA-based patient classifier
KRAS mutations are among the most prevalent oncogenic drivers [...]
Precision medicine is our future and our fate | TPM podcast #46
Tempus’ live webinar featuring Rafael Rosengarten [...]
Genialis Highlights Power of its Supermodel to Predict and Explain Therapeutic Response at AACR 2025
New results from translational, clinical, and real-world studies showcase [...]
On a mission to beat an ignoble killer: pancreatic cancer | TPM podcast #45
Schedule a meeting Genialis™ Supermodel - [...]
Genialis™ Supermodel: Predicting monotherapy and combination therapy responses in KRAS-mutated cancers using a large molecular model of cancer biology
KRAS mutations drive approximately 25% of human cancers, resulting [...]
Biology-driven, machine learning-based development of a biomarker to predict response to WEE1 inhibitor Debio 0123
The WEE1 kinase is a central regulator of G2/M [...]
Highlights from Fireside Chat with Rafael Rosengarten
"In cancer treatment, a simple yes or no isn’t [...]
