by peter | Jan 11, 2024 | Case Study, Knowledge
Abstract Our study on HMSN2C, a rare axonal neuropathy linked to TRPV4 gene mutations, utilized the JUMP CP dataset. Analysis yielded 3612 hits, with 87 found in a drug repurposing library. Literature review revealed three promising TRPV4 antagonists within this...
by peter | Nov 3, 2023 | AI, Knowledge
In the realm of early-stage drug discovery, the quest to understand the intricate interplay between genes and observable traits, known as phenotypes, is pivotal. This understanding holds the key to discovering new therapeutic avenues and revolutionizing the treatment...
by peter | Oct 16, 2023 | AI, Knowledge
We’re thrilled to announce that TK Analytics has been selected to join the NVIDIA Inception Program, a prestigious initiative designed to accelerate the growth of startups innovating in AI and data science. By aligning with NVIDIA, we don’t just gain...
by Tilen Kranjc | Oct 12, 2023 | AI, Knowledge
We’re proud to announce CellusAI, our artificial intelligence powered segmentation, phenotyping, and prediction of molecular bioactivity and toxicity from cell painting images. CellusAI is our machine learning platform for analysis of cell painting images,...
by peter | Sep 7, 2023 | AI, Knowledge
Phenotypic profiling, the study of observable characteristics resulting from the interaction of genes with the environment, plays a pivotal role in understanding complex biological processes and identifying potential therapeutic targets. With the rapid advancements in...
by Tilen Kranjc | Aug 30, 2023 | AI, Knowledge
High Content Screening (HCS) has revolutionized the field of drug discovery by enabling the analysis of multiple parameters of cells in a single assay. HCS generates a vast amount of data that requires sophisticated analytical tools to extract meaningful information....
