October 21, 2020
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.
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.
Who Should Watch?
Recommended attendees include lab managers, directors, quality managers, and technicians of clinical research and cancer labs
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.