PinnedNo, You Won’t Make a Scientific Breakthrough with Yesterday’s Omics Analysis TechToday, more than ever, massive amounts of biological data are at our disposal. Yet, our ability to organise, analyse and interpret data and to therefore extract therefrom biologically relevant information, is trailing behind. Creating a faultless system, integrating fundamental changes necessary to advance the field of omics analysis will equip…Genetic Research6 min readGenetic Research6 min read
May 4Creating an AI-ready data foundation for successful AI-enabled drug discoveryOver the past year, we have looked at drug discovery and development from several different perspectives. For instance, we looked at the Big Data frenzy in biopharma, as zettabytes of sequencing, real-world and textual data (RWD) pile up and stress the data integration and analytic capabilities of conventional solutions. We…Drug Development5 min readDrug Development5 min read
Apr 5Computational biology and drug discovery: what to expect in 2023The year 2022 in computational biology was largely marked by two main advancements: 1. A range of rapid developments on the theme of protein structure prediction (started by DeepMind’s AlphaFold) 2. Spillover of recent progress in natural language processing (NLP), such as transformer models, into the world of biological sequences …Drug Development4 min readDrug Development4 min read
Mar 30Targeting Disease with Precision: A Primer on Antibody DiscoveryThe first therapeutic monoclonal antibody, Muromonab-CD3, was approved by the FDA in 1986 with the second , which incidentally was the first approved-for-use chimeric antibody , following 8 years later. The milestone 50th approval came 21 years later, crossed a hundred in 2021, and according to recent data, an…Precision Medicine5 min readPrecision Medicine5 min read
Mar 22Protein structure prediction: On the route from sequence to functionAs discussed in our previous blog post in this series, there is a large discrepancy between sequenced proteins and structure-resolved proteins. This can be attributed to the fact that the cost for protein sequencing has gone down dramatically in the last decades, while experimentally determining protein structures remains a costly…AI4 min readAI4 min read
Mar 20Why we love multi-omics analysisThe first step in the transition to this holistic model is to catalog a complete of biological systems and decode how they connect, interact, and individually and collectively correlate to the function and behavior of that specific system. is the science of analyzing the structure and functions of all the…Omics Data Analysis4 min readOmics Data Analysis4 min read
Mar 8Data-Driven Biomedical ResearchData-driven biomedical research is the foundation of effective precision medicine (PM). Of course, over the long term, the success of the PM model will be determined as much by the productivity of data-driven research as it will be by our ability to translate research‐based theories and discoveries into clinical precision…ML5 min readML5 min read
Mar 6Key elements of successful AI-native drug discoveryThe use of AI in drug discovery has been progressively expanding over the past decade. Over the next decade, according to Morgan Stanley Research , even modest AI/ML-enabled improvements in early-stage drug development success rates could deliver an additional 50 novel therapies and create a $50 billion opportunity. AI-enabled drug…Precision Medicine5 min readPrecision Medicine5 min read
Feb 19What is a biomarker?A biomarker, or biological marker, broadly refers to a range of objectively, accurately, and reproducibly measurable medical signs . These signs indicate the medical state of a patient in terms of the presence/progress, or the effect of treatment on a particular disease. A simple example of a biomarker is blood…Genetic Research4 min readGenetic Research4 min read
Feb 6Precision drugs for the precision medicine eraCurrently, chemotherapy, using cytotoxic small molecules to kill cancer cells, is the predominant conventional cancer treatment. Despite the clinical benefits of this approach, there are several factors, including low selectivity and high toxicity to normal cells, that limit its therapeutic efficacy. Since many powerful anti-cancer drugs are nonspecific, they tend…Genetic Research3 min readGenetic Research3 min read
