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

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Interviews


[Interview] A Company on the Cutting Edge of COVID-19 Vaccine Development

   by Andrii Buvailo    1113
[Interview] A Company on the Cutting Edge of COVID-19 Vaccine Development

Recently, COVAXX announced it would soon enter human trials as the company is focused on rapidly developing a Multitope Peptide-based Vaccine (MPV) against SARS-CoV-2. While the biotech industry is now on a race to develop vaccines to curb COVID-19 pandemics, with several dozen players competing for the future market, COVAXX is a special case that can not be taken lightly.

Not only COVAXX’s new vaccine candidate is constructed off a commercially proven peptide-based vaccine platform by United Biomedical (UBI), a leader with a 30-year history in creating vaccines with over 500 million doses sold annually and 5 billion -- cumulatively in animal health indications for infectious disease that has demonstrated safety and efficacy. But it is also co-founded by two biotech “stars” of modern-day: Peter H. Diamandis, M.D., founder and executive chairman of XPRIZE, executive founder of Singularity University, and a dozen other tech companies, a popular science author; and Mei Mei Hu, co-founder of United Neuroscience, a member of Fortune “40 Under 40” and TIME “100 Next List”.

[Interview] A New Way To Work With Data In Life Sciences

   by Andrii Buvailo    409
[Interview] A New Way To Work With Data In Life Sciences

Founded by renowned database researcher, Turing Award laureate MIT Professor Michael Stonebraker, Paradigm4 is not just any data analytics company in the Life Sciences. The organization is built on the decades of pioneering research in database design and possesses unique technological know-how in scientific data management and scalable computation. 

The firm has recently launched its REVEAL™: Single Cell app to offer biopharmaceutical developers the ability to break through the data wrangling and programming challenges associated with the analysis of large-scale, single-cell datasets. 

[Interview] Expediting Drug Discovery Through Advanced Machine Learning

   by Andrii Buvailo    438
[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.

[Interview] Shaping European AI Regulation To Secure Global Leadership In Healthcare

   by Andrii Buvailo    681
[Interview] Shaping European AI Regulation To Secure Global Leadership In Healthcare

While the history of Artificial Intelligence (AI) field began in the distant 1950s, its practical value had largely remained limited all the way until the emergence of powerful hardware (GPUs) in the late 1990s. Other complementary technologies played an important role in the AI progress too: new data storage capabilities, cheap cloud infrastructures, advanced deep learning algorithms -- all these things became reality only in the 21st century, effectively setting AI field for exponential development trajectory and commercial practical utility. 

Today AI tech has matured to an extent it has become a strategic factor, a competitive differentiator, not only for individual companies but for the whole industries and countries. Needless to say, healthcare -- one of the major industries -- is an important end-user of AI technologies. Countries that care to adopt AI in their healthcare strategies today will have major competitive benefits for public health and safety tomorrow.

[Interview] How COVID-19 Catalyzed AI-assisted Open Science Drug Discovery

   by Andrii Buvailo    1407
[Interview] How COVID-19 Catalyzed AI-assisted Open Science Drug Discovery

Biopharma companies are now racing to find much-needed cures against SARS-CoV-2, a virus that caused the largest global pandemic of our time. One notable effort is the COVID Moonshot project, organized by an international consortium of scientists from academia, biotechs, contract research organizations (CROs), and pharma -- all working pro bono or via crowdfunding, philanthropy, and grants. 

The aim of the project is to rapidly develop easily manufacturable antiviral drugs that can inhibit the SARS-CoV-2 main protease, which is believed to be an Achilles heel of the coronavirus. The project is managed by PostEra, a startup company that uses artificial intelligence (AI) algorithms to map routes for chemical synthesis to speed the drug-discovery process.