Clinical trials are the essential assessment for safe, reliable, and effective drug development. Data-related limitations, extensive manual efforts, remote patient monitoring, and the complexity of traditional clinical trials on patients drive the application of Artificial Intelligence (AI) in medical and healthcare organisations. For expeditious and streamlined clinical trials, a personalised AI solution is the best utilisation. AI provides broad utility options through structured, standardised, and digitally driven elements in medical research. The clinical trials are a time-consuming process with patient recruitment, enrolment, frequent monitoring, and medical adherence and retention. With an AI-powered tool, the automated data can be generated and managed for the trial lifecycle with all the records of the medical history of the patient as patient-centric AI. AI can intelligently interpret the data, feed downstream systems, and automatically fill out the required analysis report. This article explains how AI has revolutionised innovative ways of collecting data, biosimulation, and early disease diagnosis for clinical trials and overcomes the challenges more precisely through cost and time reduction, improved efficiency, and improved drug development research with less need for rework. The future implications of AI to accelerate clinical trials are important in medical research because of its fast output and overall utility.

Coronavirus Disease-2019 (COVID-19) is a highly contagious disease caused by Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2). The World Health Organization (WHO) classified the disease a as global public health hazard on 11 March 2020. Currently, there are no adequate measures to combat viral infections, including COVID-19, and the medication guidelines for the management of COVID-19 are dependent on previous findings from SARS-CoV and MERS-CoV research. Natural products have achieved widespread acceptance around the world as a means of enhancing healthcare and disease prevention. Plants are a potential source of antiviral factors such as flavonoids, phenolic acids, terpenoids, and others. Some of these agents exhibit a broad spectrum of antiviral activity. This study aimed to screen herbal leads for possible inhibitors of the SARS-CoV-2 ADP Ribose Phosphatase enzyme (ARP). Guggulsterone was found to be highly stabilized within the active site of the viral ARP enzyme by molecular dynamic simulation with very little fluctuation throughout the simulation timeframe of 100 ns. Thus, guggulsterone can be further used to develop a safe and competent medication for evolving therapy against SARS-CoV-2 in post-preclinical and clinical trials.

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The genus Cinnamomum, the evergreen tree of tropical and subtropical Asia, Australia, the pacific region and South America, a member of family Lauraceae, has been used in day to day routine as a spice and condiment in India. This genus has many applications in perfumery, flavouring and pharmaceutical industries. Volatile oils from different parts of cinnamon such as leaves, fruits, root bark, flowers and buds have been isolated by several techniques and identification of these constituents have been done by GC and GC-MS. The present review describes the traditional and ethanobotanical uses and various chemical constituents, of various Indian species of Cinnamomum genus. This review will help those people who are interested in doing research work on this plant in future, which has got tremendous potential medicinally.

Cinnamon is a tropical evergreen tree that belongs to the Lauraceae family. It has long been used as a spice and is historically used for flavouring food and in pharmaceutical preparations to treat a variety of diseases. The material on Cinnamomum's pharmacological activities is fragmented and lacking in well-documented form. We attempted to compile its extensive medical and pharmacological features, as well as current patents awarded on Cinnamomum uses around the world, in this review.