ResponderID™: The Biology-First Machine Learning Platform for Biomarker Discovery
Rarely has a complex gene signature been successfully translated [...]
Genialis Raises $13M to Build Clinical Biomarkers that Predict Patient Response
Through AI/ML-enabled platform with a biology-first approach, Genialis looks [...]
Communication, the key to building community with Susanna Harris | Podcast #29
Welcome to Talking Precision Medicine — the podcast in [...]
Pitfalls and Rewards of Setting Up a Liquid Biopsy Approach for the Detection of Driver Mutations in Circulating Tumor DNAs: Our Institutional Experience
Abstract: We describe our institutional experience of developing a [...]
A new way to finance drug development, for rare disease and beyond with Alok Tayi | Podcast #28
Welcome to Talking Precision Medicine — the podcast in [...]
Xerna tumor microenvironment subtypes as a biomarker in lung cancer patients
This study investigates the potential of the Xerna™ TME [...]
SITC 2022: some thoughts in review
By Luka Ausec and Daniel Pointing Below are some observations, [...]
Genialis Presents New Clinical Biomarker Findings at SITC, BioTechX
I/ML technology used to enhance drug development included in [...]
Predicting benefit from maintenance durvalumab after first-line chemotherapy (1L CTx) in oesophagogastric adenocarcinoma (OGA) using a novel tumour microenvironment (TME) RNA assay
This study evaluates the efficacy of maintenance durvalumab in [...]
Genialis Updates ResponderID, Enhancing Data Flywheel for Improved Clinical Biomarker Discovery
AI/ML technology helps therapeutic companies improve likelihood of clinical [...]
