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1.
Expert Rev Med Devices ; : 1-10, 2024 Jun 06.
Article in English | MEDLINE | ID: mdl-38836413

ABSTRACT

BACKGROUND: Medical devices play a crucial role in patient care but entail inherent risks, necessitating the presence of materiovigilance to monitor and prevent medical device adverse events (MDAEs). The primary objective of our study is to evaluate the impact of an awareness and sensitization program regarding medical devices among participants. METHODS: A self-administered, validated knowledge, attitude, and practice (KAP) questionnaire consisting of 15 questions was distributed to study participants, and their responses were collected. The data were analyzed using SPSS software version 18. RESULTS: Out of the 182 responses received, 56% were from the Pharmacy, while 44% were from the Dental field. 64.8% of the participants were unaware of the Materiovigilance Programme of India (MvPI). However, an overwhelming 97.5% displayed a positive attitude towards reporting MDAEs. Only 5% of the participants had received training on how to report MDAEs. Furthermore, 85.71% of participants had not seen the MDAE reporting form. CONCLUSION: To improve the reporting of MDAEs, it is essential to implement educational interventions and provide training to Pharmacy and Dental postgraduate students. These measures will increase awareness and promote better understanding and implementation of materiovigilance practices.

2.
Prog Mol Biol Transl Sci ; 205: 303-355, 2024.
Article in English | MEDLINE | ID: mdl-38789185

ABSTRACT

The conventional theory linking a single gene with a particular disease and a specific drug contributes to the dwindling success rates of traditional drug discovery. This requires a substantial shift focussing on contemporary drug design or drug repurposing, which entails linking multiple genes to diverse physiological or pathological pathways and drugs. Lately, drug repurposing, the art of discovering new/unlabelled indications for existing drugs or candidates in clinical trials, is gaining attention owing to its success rates. The rate-limiting phase of this strategy lies in target identification, which is generally driven through disease-centric and/or drug-centric approaches. The disease-centric approach is based on exploration of crucial biomolecules such as genes or proteins underlying pathological cascades of the disease of interest. Investigating these pathological interplays aids in the identification of potential drug targets that can be leveraged for novel therapeutic interventions. The drug-centric approach involves various strategies such as exploring the mechanism of adverse drug reactions that can unearth potential targets, as these untoward reactions might be considered desirable therapeutic actions in other disease conditions. Currently, artificial intelligence is an emerging robust tool that can be used to translate the aforementioned intricate biological networks to render interpretable data for extracting precise molecular targets. Integration of multiple approaches, big data analytics, and clinical corroboration are essential for successful target mining. This chapter highlights the contemporary strategies steering target identification and diverse frameworks for drug repurposing. These strategies are illustrated through case studies curated from recent drug repurposing research inclined towards neurodegenerative diseases, cancer, infections, immunological, and cardiovascular disorders.


Subject(s)
Drug Repositioning , Humans , Data Mining , Drug Discovery
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