Complimentary Webinar: How Artificial Intelligence is Shaping the Future of Clinical Research


CloudLIMS is pleased to announce a complimentary webinar titled “How Artificial Intelligence is Shaping the Future of Clinical Research” on October 20, 2022, at 9 A.M. PDT (5 P.M. BST). The webinar will be presented by Martha Hernández, Scientist,

Webinar Overview

Artificial Intelligence (AI) is a computer program designed by scientists to perform operations typical of human intelligence. AI is everywhere, even in different fields of science, including clinical research, which promotes increasingly accelerated advances in healthcare. Today, researchers can trust AI at each clinical research stage to develop protocols, recruit healthy subjects or patients, share results, and even discover new and more effective drugs. Implementing AI in clinical research can be slow and tedious, as numerous regulatory hurdles can interfere with integrating AI tools.

Some factors that can slow down the advances in AI are the privacy concerns that could arise when handling huge volumes of participant data and some ethical dilemmas. To bridge this gap and accelerate the implementation of AI in clinical research, a Laboratory Information Management System (LIMS) can help.

Key Takeaways

  • A review of the applications of AI in clinical research.
  • The barriers researchers have to cross to implement AI in their clinical research lab.
  • How an informatics tool can help break down those barriers with an informatics tool.

Webinar Duration: 40 minutes

The webinar includes 30-minutes of presentation and 10 minutes of Q&A session.

Who Should Attend?

Recommended attendees include lab managers, directors, quality managers, and technicians of clinical research and cancer labs.

Speaker Biography


Martha Hernández

Martha is a chemist with expertise in diverse areas of analytical chemistry. She had worked as an analyst at a licensed 3rd party analytical laboratory where she focused on developing and validating analytical methods for bioequivalence studies. Later, she served as a quality control expert in the analytical domain and as a monitor in clinical trials. Her interest in the clinical industry led her to be a part of two of the biggest hospitals in Mexico where she gained expertise in hematology, microbiology, and blood banking. Later, she became a member of the team of forensic chemical experts and started working from day one as a specialist in narcotics and drugs. This enabled her to gain rich experience in GC-MS, FTIR, HPLC-MS/MS, ICP-MS, and other analytical techniques for the separation, detection, and quantification of different molecules such as cannabinoids. She had participated in multiple oral trials defending her legal opinions and worked as an expert consultant. She had worked on the synthesis of small molecules for testing them on multi-drug resistant bacteria and mycobacteria, further developing her analytical skills in column chromatography, thin-layer chromatography, microbiology, and compound elucidation by NMR and HRMS. She carried out a research stay at the University of Barcelona with the organic synthesis team. She had also worked on natural products in France and presented her work at conferences in the USA and France. She received awards and accolades for her exceptional work. She has participated in several conferences as a moderator as well.

Martha holds a bachelor’s degree in Clinical Chemistry from the Faculty of Medicine UANL and a master’s degree in Pharmacy from the Faculty of Chemical Sciences UANL, Mexico.



Sign up for this free webinar to learn more about artificial intelligence and its applications in clinical research and get your questions answered. After registration, you will receive a confirmation email with detailed instructions to join the webinar. Please contact us if you have any questions or need technical assistance joining the webinar.

Have suggestions? We are listening

We are eager to hear your suggestions. If you have any suggestions for other webinar topics, you can drop your suggestions in the comment box below. You can share information on this webinar with your friends and colleagues using social media icons, just above the comment box. If you are unable to attend the webinar, you can still register to receive a recording of the presentation.

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