INTRODUCTION: The integration of artificial intelligence (AI) into clinical pharmacology could be a potential approach for accelerating drug discovery and development, improving patient care, and streamlining medical research processes. AREAS COVERED: We reviewed the current state of AI applications in clinical pharmacology, focusing on drug discovery and development, precision medicine, pharmacovigilance, and other ventures. Key AI applications in clinical pharmacology are examined, including machine learning, natural language processing, deep learning, and reinforcement learning etc. Additionally, the evolving role of clinical pharmacologists, ethical considerations, and challenges in implementing AI in clinical pharmacology are discussed. EXPERT OPINION: The AI could be instrumental in accelerating drug discovery, predicting drug safety and efficacy, and optimizing clinical trial designs. It can play a vital role in precision medicine by helping in personalized drug dosing, treatment selection, and predicting drug response based on genetic, clinical, and environmental factors. The role of AI in pharmacovigilance, such as signal detection and adverse event prediction, is also promising. The collaboration between clinical pharmacologists and AI experts also poses certain ethical and practical challenges. Clinical pharmacologists can be instrumental in shaping the future of AI-driven clinical pharmacology and contribute to the improvement of healthcare systems.
Biomedical Research , Pharmacology, Clinical , Physicians , Humans , Artificial Intelligence , Machine Learning , Clinical Trials as Topic
INTRODUCTION: Pain is a very well-known signal of ill health and analgesics are the drugs that are used to relieve pain. The main problem with these drugs remains that of side effects. Safer alternatives are natural herbs. Guduchi (Tinospora cordifolia) is one such plant with analgesic potential but few studies are there. OBJECTIVE: To evaluate the analgesic activity of commercially available extract of Guduchi (T. cordifolia). MATERIALS AND METHODS: For this purpose commercially available extract of Guduchi (T. cordifolia) by Himalaya Drug Company, Bangalore was used. Albino rats were divided randomly in three groups of six rats each. Group 1 (control) received distilled water orally, group 2 (test) received T. cordifolia extract in dose of 300 mg/kg orally and group 3(standard) received Pentazocine in dose 10mg/kg intraperitoneally. Analgesic activity was evaluated using hot plate and abdominal writhing method. All the observations were analysed statistically using student's t-test. OBSERVATION AND RESULTS: T. cordifolia extract significantly (p<0.05) increased the response time and decreased the number of writhes in hot plate method and abdominal writhing method respectively, on comparison with the control group. CONCLUSIONS: The above findings suggest that this commercially available extract of Guduchi (T. cordifolia) possess analgesic activity. This analgesic activity probably involves peripheral as well as central mechanisms as the extract showed analgesic activity in both hot plate and abdominal writhing method.
