PercayAI and Saint Louis University Partner to Accelerate AI Adoption across Biomedical Sciences Research
February 2, 2021
Biotech start-up PercayAI and St. Louis University (SLU) announced a partnership to provide SLU researchers with access to PercayAI’s augmented intelligence (AI) drug discovery platform.
Ask the Expert: AI & Machine Learning in Life Sciences – Just Another Model?
December 10, 2020
We’re back with part 2 of our question and answer session with Dr. Dan Kuster, an expert in machine learning and AI. Dan will walk us through understanding AI and machine learning workflows in a biological context.
Ask the Expert: AI and Machine Learning in Biology
October 14, 2020
We’re doing a question and answer session with Dr. Dan Kuster, the CEO and founder of Cambrio, a digital R&D lab focused on life sciences. Dan will walk us through understanding AI and ML workflows in a biological context.
Exploring ALS with AI Part II: Understanding familial and sporadic ALS
July 30, 2020
For part II of our ALS series, we look at the differences and commonalities between two types of ALS: familial and sporadic.
Exploring Amyotrophic Lateral Sclerosis with PercayAI’s AI Tools
July 20, 2020
To kick off our ALS series, we used PercayAI's newest feature, BioExplorer, to generate a visual, interactive, on-demand literature review describing the major mechanisms, therapeutics, and clinical information on ALS
Using Transcriptomics to Investigate Cardiovascular Risk Factors for COVID-19
June 24, 2020
We analyzed the data from a study on transcriptomic profiles of COVID-19 patients to investigate the cardiovascular risk factors using augmented intelligence (AI) tool.
Go from data to knowledge faster: free webinar
May 26, 2020
We’ll walk you through using CompBio to speed up your omics data analysis, hypothesis generation, and target identification time in this free webinar, Thursday, May 28.
CORD-19 vs. PubMed: How to get the most from COVID-19 knowledge sources
May 8, 2020
We are using our augmented intelligence knowledge mapping tools to quickly ingest information surrounding COVID-19. Here, we analyze and compare two COVID-19 data sources: CORD-19 and PubMed.
Part 2: COVID-19 in Patients: A Transcriptomic Profile
May 6, 2020
We focus on the PBMC samples from the previous transcriptomic study of COVID-19 patients to identify processes that are up- or down-regulated by the infection.
COVID-19 in Patients: A Transcriptomic Profile
April 28, 2020
We analyzed the data from a study on transcriptomic profiles of COVID-19 patients using augmented intelligence (AI) tool and share our findings.