Advancements in Drug Testing and Quality Control in Africa
This presentation discusses the use of near-infrared (NIR) spectral methods for rapid and reagent-free drug testing in Africa. The focus is on deploying low-cost infrared devices for verifying medicines, building databases on genuine medicines, and enhancing the capacities of drug professionals through modern quality control methods. The AI4MED program plays a crucial role in monitoring medicines in Africa, addressing the lack of a comprehensive database on genuine medicines in the region. Collaboration with universities, professors, researchers, and young pharmacists is crucial in building databases and raising awareness about the dangers of counterfeit medicines.
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FGAI4H-Q-011-A03 Douala, 6-9 December 2022 Source: TG-FakeMed Topic Driver Title: Att.3 Presentation (TG-FakeMed) Purpose: Discussion Contact: Frank Verzef TrueSpec-Africa, DRC E-mail: fverzefe@gmail.com Abstract: This PPT contains a presentation on TG-FakeMed updates.
Pierre Fabre Foundation TrueSpec Africa Inform the health sector about near infrared (NIR) spectral methods for rapid, reagent-free and preparation-free drug testing. Deploy a low-cost infrared device for rapid verification of medicines anywhere where it is required (customs, warehouses, pharmacies, hospitals, markets, ) Build a database by systematically analyzing genuine medicines by both reference and NIR methods Facilitate the networking of African pharmacy faculties Increase the capacities of drug professionals (trainers, pharmacists, technicians) Train in modern methods of drug quality control Assist the implementation of inter- university research projects
The principle of near infrared drug analysis on the ground An artificial intelligence based technology is used to match collected drug data on the ground to datasets on genuine medicines stored on secure servers in the cloud 1st Step: in the laboratory - Genuine medicines are analyzed with reference method (pharmacopoeias) to confirm their good composition. - They are then analyzed by the NIR method. - The NIR spectral data are processed by AI and transferred to a secure server. Data for genuine medicines stored in secure servers 2ndStep: control at the ground To the cloud From the could Comparison between good stored data and data obtained at the ground Drug is placed here Answer in 10s : Yes : the drug is OK No : the drug is fake
Problems and solutions A big problem !! Solutions Thanks to the AI4MED" or Artificial Intelligence for Monitoring medicines in Africa program and the involvement of young African pharmacists. No established database containing clean data on genuine medicines found in Africa.
Building the database with the help of universities, professors, researchers, and young pharmacists Schools of pharmacy in Africa Young pharmacists The schools of pharmacy we have approached so far are eager to collaborate on the project Laboratories for the quality control of medicines Those working a Pharm-D, a Master, a PhD, a DIU Faculties with expertise in quality control are often directors of quality control laboratories Database on genuine medicines Capacity building Research topics for dissertations (Pharm-D, master, PhD) Raising awareness of the danger of fake medicines and training to portable NIR methods Appropriation of methodologies by institutions
First actors involved in the creation of the Database ( africanwide call for applications at the moment) Adis Abeba Pr Workineh shibeshi Dakar Pr Saar, head of quality control Kigali Pr Marie Fran oise Mukanyangezi. Head of the pharmacy Department Ouagadougou, Bobo Dioulasso, Abidjan, Lom , Abomey Calavi And their school of pharmacy Dar Es Salaam Prof. Dr. Eliangiringa Kaale Director, Pharm R&D Lab- ISO 17043:2010 Accredited Laboratory, School of Pharmacy|Muhimbili University of Health and Allied Sciences Block ,Dar Es Salaam, Bangangt School of pharmacy, University of the Mountains Pr Wessi Djewe Kinshasa, Kisangani, Bukavu School of pharmacy Antananarivo Head of Pharmacy, Pr David Ramanitrahasimbola Gaborone President of the Republic of Botswana Limpopo Dean of Pharmacy, Pr NaminbuluNLOOTO
Actions Equip schools with mobile NIRS TrueSpec devices. Train teachers and students in the use of new drug analysis technologies : medicine analysis in less than 10 seconds Explain the process of building the database. Train in data processing and recording. Assign each faculty a role (nature, number and class of drugs studied, blind testing; collection of drugs, reference methods, portable methods. Data processing by Artificial Intelligence and build the database
Complementary roles of partners Outcomes Training A panafrican database is built and regularly updated; Young pharmacists and institutions are embracing portable technology and are sensitive to the issue of fake medicines; African School of pharmacy The quality of medicines can be determined more efficiently in Africa. Data computing Experts from university of paris in the supervision of the applied procedures
OUTCOMES othe data generated will be used in our focus group, owill allow a cross-border analysis of medicines on the african continent
The data generated will be used in our TG-AI FakeMed They will allow a cross-border analysis of medicines on the African continent.
