A Landscape of Artificial Intelligence (AI) In Pharmaceutical R&D

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[Interview] Expediting Drug Discovery Through Advanced Machine Learning

   by Andrii Buvailo    641
[Interview] Expediting Drug Discovery Through Advanced Machine Learning

The application of next-generation data analytics tools, powered by machine learning and artificial intelligence (AI) components, has become a long-term strategic priority for most companies in the pharmaceutical and biotech industries. However, such systems have to make sure the organisational data is findable, accessible, interoperable, and reusable across different sub-systems, applications, departments, teams, and even companies. 

Aigenpulse, a technology company at the forefront of data management and analytics in the Life Science industry, has built a portfolio of tools for working with organisational research data at scale and accelerating the discovery and development of better targets and candidates using advanced machine learning technologies.

18 Startups Using Quantum Theory To Accelerate Drug Discovery

   by Andrii Buvailo    11044
18 Startups Using Quantum Theory To Accelerate Drug Discovery

Molecular mechanics (MM) is a traditional computational approach when it comes to modeling in synthetic organic chemistry, medicinal chemistry and versatile aspects of drug design. However, MM methods have significant limitations, for example, when used to study electron-based properties within the drug-receptor microenvironment. Quantum mechanical (QM) methods allow to substantially increase the accuracy of predictions and provide much more relevant models of chemical and biological objects and their interactions, but QM methods are extremely (often prohibitively) computationally costly.

However, a series of advancements over recent years allowed to expand horizons in this direction, for example, the emergence of density functional theory (DFT), the overall increase in the computation power and the emergence of distributed cloud-based computational infrastructures.

Cytovia Therapeutics and NYSCF Annouce Filing of Provisional Patent for iPSC-derived NK Cells to Produce Unlimited On-demand NK and CAR-NK Cells for the Treatment of Cancer

   by Charlotte Tomic    160
Cytovia Therapeutics and NYSCF Annouce Filing of Provisional Patent for iPSC-derived NK Cells to Produce Unlimited On-demand NK and CAR-NK Cells for the Treatment of Cancer

(August 25, 2020)--New York, NY--Cytovia Therapeutics, an emerging biopharmaceutical company and the New York Stem Cell Foundation (NYSCF) Research Institute today announced the filing of a provisional patent application with the U.S. Patent & Trademark Office (USPTO) for the differentiation of Natural Killer (NK) cells from induced pluripotent stem cells (iPSCs). The NYSCF Research Institute is a pioneer and acknowledged leader in stem cell technology, having developed the NYSCF Global Stem Cell Array®, the premier automated robotic platform for reprogramming skin or blood into induced pluripotent stem cells (iPSCs) and differentiating them into disease-relevant cell types.

 

Aigenpulse introduces novel data intelligence platform to life science markets

   by Alice Chamberlain    333

Life science and data technology innovator, Aigenpulse, is introducing a new state of-the-art data intelligence platform which is designed to expedite the drug discovery and development process. The Aigenpulse platform harnesses the latest artificial intelligence and machine learning tools to deliver advanced analytics to underpin scientific decision making.