Tag: AI

Microsoft starts microbiome partnership with Eagle Genomics

The data scientists and developers behind a ground-breaking microbiome data platform, announced their partnership with Microsoft Genomics.

SK Biopharmaceuticals created novel drug development platform

drug discovery
SK Biopharmaceuticals, the new drug development unit of South Korea’s conglomerate SK Group, had finished developing an artificially intelligent drug development and design platform.

Fujifilm developed new technology to advance the process of drug development

FUJIFILM has developed AI and simulation technology capable of automatically searching and designing new drug candidates from the structural formula of a known biologically active compound.

Chinese pharma R&D startup receives $15 million funding

Deep Intelligent Pharma (Beijing, China), a healthcare AI start-up providing new drug research and development services for pharmaceutical companies, announced that it has raised a $15 million.

Sanofi is running the pilot of AI solution with Researchably

Researchably (USA) announces the only AI solution which uses natural language processing (NLP) to read and review these scientific articles.

New deep learning drug discovery platform receives innovation boost

Artificial Intelligence
Funding to support Artificial Intelligence (AI) in drug discovery takes a significant step forward as the Medicines Discovery Catapult secured a grant from Innovate UK to fund a €1,26 million project.

WuXi AppTec entered into drug discovery collaboration with Canadian biotech

drug discovery
WuXi AppTec Research Service Division and Cyclica announced a multi-phase collaboration to advance drug discovery programs by driving insights into small molecule polypharmacology.

EU supercomputing project will help to speed up drug discovery

The EU-funded ExCAPE project is devising ways to develop new medicines fast using high performance computing and machine learning.

New AI approach is brought into being at the University of North Carolina

AI approach created at the University of North Carolina can teach itself to design new drug molecules from scratch and has the potential to dramatically accelerate the design of new drug candidates.

Chugai Pharma and Preferred Networks aimed to create innovative drugs

Artificial Intelligence
Japanese companies Chugai Pharmaceutical and Preferred Networks announced that they have entered into a comprehensive partnership agreement aiming to create new values in innovative drugs and services

Verge Genomics receives $32 million financing to accelerate drug discovery

Verge Genomics, a drug discovery company utilizing machine learning to develop new therapeutics, announced that it has raised $32 million in Series A financing.

Automating molecule design will help to optimize drug development process

drug development
Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory and Department of Electrical Engineering and Computer Science developed a model that selects lead molecule candidates based on desired properties.

Association of medical AI systems developers and users was established in Russia

The Association was established with the support of Russian Venture Company (RVC) to accelerate the introduction of advanced artificial intelligence technology in the clinical practice.

BASF will develop new catalyst technologies with Citrine Informatics

BASF and Citrine Informatics are collaborating to use artificial intelligence (AI) to accelerate the development of new environmental catalyst technologies.

Deloitte’s recent survey reflects the increasing role of real-world evidence

Deloitte’s real-world evidence (RWE) benchmarking survey studies how biopharma companies are using RWE, what they are investing in, areas of impact, and the hurdles to successful adoption.

Adents and Microsoft developed a new blockchain serialization solution

Adents in collaboration with Microsoft has developed a new unit-level product track & trace platform utilizing Blockchain and AI technologies. Adents NovaTrack offers end-to-end traceability.