SAE Media Group Proudly Presents the 4th Annual AI in Drug Discovery Conference

SAE Media Group 13 - 14 March 2023, London, UK.
SAE Media Group is proud to present its 4th Annual AI in Drug Discovery Conference, taking place from 13 - 14 March 2023 in London, UK.

With the recent pandemic highlighting the need for rapid drug discovery, AI has become an area of increased interest. This is driven by the ability to discover drugs through the use of machine and deep learning. The current challenges within the drug discovery industry include the significant time consumption and expenses involved. This conference will discuss the solutions to these problems with presentations and updates from leading industry experts.

AI in drug discovery is leading the way into a shorter, cheaper and more successful R&D era where compound generation is automated, drug synthesis is predictable and undruggable diseases are finally being targeted.

The uptake of structure-based target selection and innovative in-silico techniques are driving optimised, more efficient drug discovery. This, alongside sessions on automation, robotics and how to improve patient-centricity in precision medicine are just some of the topics set to be discussed which you wouldn't want to miss at the 4th annual AI in Drug Discovery Conference 2023.

The influential line-up of speakers will be taking to the stage from 13 - 14 March 2023 at the Copthorne Tara Hotel, London to provide you with the latest insights and advice for you to take back to your business.

Key Reasons to Attend

  • DELVE into key industry research focuses, with talks on fragment-based selection, in silico drug design and personalised medicine from GSK, Bayer, Janssen Pharmaceuticals and more
  • INCREASE the diversity of your drug discovery programme with case studies in applying knowledge graphs, molecular dynamic simulations, and digital twins throughout the development process
  • UTILISE breakthroughs in robotics, automation and quantum chemical methods alongside AI to drive the next generation of drug discovery
  • UNCOVER the role that international cooperation and open-source data played in the rapid development of Covid-19 treatments, and how this can be an example for the future of pharmaceutical R&D
  • LEARN how to implement AI and Machine Learning techniques throughout the discovery pipeline from antigens and genomics to proteins and peptides

For further information and to register, please visit:
http://www.ai-indrugdiscovery.com

About SAE Media Group

SAE Media Group Conferences, based in London, connects global communities with focused networking conferences. We provide our customers with solutions through industry knowledge and collaboration that enables our attendees to return to their organisations better equipped to overcome their key business challenges.

Our key events focus on Defence and Aerospace, Pharmaceutical and Medical. Each year we bring together over 5,000 senior business professionals at our conferences.

SAE Media Group (SMG), an subsidiary of SAE International, reports the latest technology breakthroughs and design innovations to a global audience of nearly 1,000,000 engineers, researchers, and business managers. SMG provides critical information these professionals need to develop new and improved products and services.

SAE Media Group is comprised of two synergistic organizations:

  • SMG Conferences, based in London, produces over 60 high-level networking events worldwide, concentrating on the Aerospace, Defense, Pharmaceutical, and Medic al industries. These events bring together senior government and industry executives/program managers to share knowledge and collaborate on key technology topics including military space, unmanned and autonomous systems, microbiology, biosensors, and much more. SMG’s flagship event, Global MilSatCom, is the world’s premier conference for the military satellite communications market.
  • SMG Media, headquartered in New York City, offers a diverse multimedia network of engineering magazines, e-newsletters, web sites, webcasts, special reports, and custom marketing services. Primary areas of focus include the Aerospace/Defense, Automotive, Commercial Vehicle, Electronics, and Medical sectors, with extensive coverage of cross-industry technologies including batteries/energy storage, sensors, photonics and imaging, advanced manufacturing, robotics, and motion control.

Most Popular Now

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

Improved Cough-Detection Tech can Help w…

Researchers have improved the ability of wearable health devices to accurately detect when a patient is coughing, making it easier to monitor chronic health conditions and predict health risks such...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...