These Companies are Changing Biotech & Biopharma with AI in 2024 These Companies are Changing Biotech & Biopharma with AI in 2024
One of the industries that are enjoying AI scaling with amazing results has to be the BioTech & BioPharma space. There,... These Companies are Changing Biotech & Biopharma with AI in 2024

One of the industries that are enjoying AI scaling with amazing results has to be the BioTech & BioPharma space. There, companies, startups, and research schools are utilizing the power of AI to help develop breakthroughs and pathways that can help revolutionize how medicine treats people.

So let’s take a look at a few companies and what research they’re engaged in that uses AI to push the envelope of what is possible.

Insilico Medicine

This Hong Kong-based company used its AI platform, Pharma.AI, to design a novel drug candidate for idiopathic pulmonary fibrosis (IPF) in 18 months. The candidate, ISM001, has shown promising results in preclinical studies and is now entering Phase I clinical trials. This is a timeline previously unheard of in traditional drug development processes. The candidate has already demonstrated promising results in preclinical studies, which is an encouraging sign of its potential effectiveness. This rapid progression from concept to clinical trials underscores the transformative impact of AI in accelerating drug discovery and bringing new treatments to the market more swiftly and efficiently.


This UK-based company leverages AI to rapidly generate and optimize drug candidates. They partnered with Sanofi to discover new treatments for cancer and immune-related diseases. Their AI platform can test drug candidates against human tissue models, significantly speeding up the preclinical phase. This capability is a game-changer in the preclinical phase of drug development, as it can considerably accelerate the timeline for testing and validation. By reducing the time and resources traditionally required in drug development, Exscientia’s approach not only speeds up the process but also promises to make it more efficient and effective, paving the way for quicker access to new treatments for patients in need.

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This UK-based company used its AI platform to identify Baricitinib, a drug originally used for rheumatoid arthritis, as a potential treatment for COVID-19. This repurposing approach not only saves time and resources but also leverages existing safety data.

Repurposing existing drugs for new uses is a cost-effective strategy that can quickly bring new treatments to patients. AI can analyze vast databases of medical records and drug information to identify promising candidates for repurposing, significantly accelerating the discovery process.


This French company uses AI to analyze patient data from different medical centers to build models and predict individual treatment responses. This allows for developing personalized medicine strategies tailored to each patient’s unique needs. By employing sophisticated AI algorithms, Owkin excels in constructing predictive models that can forecast how individual patients will respond to specific treatments. This approach is a significant stride towards personalized medicine, where treatments are not one-size-fits-all but are instead meticulously tailored to meet the unique requirements of each patient. Such customization in treatment strategies is pivotal in enhancing the effectiveness of medical interventions, thereby potentially improving patient health outcomes. 


This US-based company is pioneering the application of artificial intelligence in the realm of medical imaging. By utilizing advanced AI algorithms, the company specializes in the analysis of medical images, including MRIs and CT scans. This approach enables the detection of diseases at their nascent stages, which is often crucial in medical treatment. Early detection plays a pivotal role in healthcare, as it opens the door for timely intervention, potentially halting the progression of diseases or managing them more effectively.


This Alphabet subsidiary uses AI to design and optimize clinical trials, making them more efficient and cost-effective. Their platform can identify potential trial participants, predict dropouts, and analyze data in real-time. Clinical trials are a crucial step in drug development, but they can be expensive and time-consuming. AI can streamline the process by identifying the right patients, predicting potential issues, and analyzing data more efficiently. This can lead to faster drug approvals and new treatments to patients sooner.

These are just a few examples of how AI is revolutionizing BioTech/Biopharma. As AI technology continues to evolve, we can expect even more groundbreaking advancements in the years to come. The future of healthcare is undeniably intertwined with AI, and the possibilities are truly limitless.


Some interesting advancements, right? With advancements seemingly coming at the speed of light, it’s amazing to think where medicine and the human condition may go in a few more years. Now with AI-powered tools, the world of medicine is at the cusp of securing many “holy grails” of treatments thought impossible decades ago. 

But if you want to keep up in this dynamic field, being on top of the latest advancements and trends is critical for any data professional. Don’t worry, ODSC East this April 23-25 has you covered at ODSC East’s Machine Learning for Biopharma track. Meet some of the leading minds from trailblazing organizations such as Oracle, Mitre, Novartis, and more as they cover the topics impacting AI in Healthcare and Biopharma.

What are you waiting for? Check it out for yourself today while tickets are 50% off!

Some currently scheduled sessions include:

  • AI for Biotech & Pharma
  • Natural Language Parsing for Healthcare Data
  • AI for Drug Discovery & Design
  • Machine Learning for Better Patient Outcomes
  • AI for Treatment Discovery
  • Machine Learning for Clinical Data Diagnosis
  • Bioinformatics and Machine Learning
  • AI for Treatment Discovery
  • Deep Learning Applications for Healthcare
  • Responsible AI
  • Ethical and Legal Consequences of Unsafe Machine Learning


ODSC gathers the attendees, presenters, and companies that are shaping the present and future of data science and AI. ODSC hosts one of the largest gatherings of professional data scientists with major conferences in USA, Europe, and Asia.