Potential of artificial intelligence to accelerate diagnosis and drug discovery for COVID-19.

The coronavirus disease (COVID-19) pandemic has caused havoc worldwide. The tests currently used to diagnose COVID-19 are based on real time reverse transcription polymerase chain reaction (RT-PCR), computed tomography medical imaging techniques and immunoassays. It takes 2 days to obtain results from the RT-PCR test and also shortage of test kits creating a requirement for alternate and rapid methods to accurately diagnose COVID-19. Application of artificial intelligence technologies such as the Internet of Things, machine learning tools and big data analysis to COVID-19 diagnosis could yield rapid and accurate results. The neural networks and machine learning tools can also be used to develop potential drug molecules. Pharmaceutical companies face challenges linked to the costs of drug molecules, research and development efforts, reduced efficiency of drugs, safety concerns and the conduct of clinical trials. In this review, relevant features of artificial intelligence and their potential applications in COVID-19 diagnosis and drug development are highlighted.

Screening of Ipomoea tuba Leaf Extract for Identification of Bioactive Compounds and Evaluation of Its in vitro Antiproliferative Activity Against MCF-7 and HeLa Cells.

Mangroves contain a wide range of bioactive compounds with pharmacological activities. In the present study, we analysed the separation and detection of phytoconstituents with the methanol extract of Ipomoea tuba leaf using gas chromatography-mass spectrometry (GC-MS) and tested its in vitro cytotoxicity effect against MCF-7 and HeLa cells. Phytochemical compounds such as docosanoic, octadecatrienoic and cis-9-octadecanoic acids, triterpenoid γ-sitosterol, and terpene alcohol in methanol extract of I. tuba leaf were identified. Furthermore, in vitro antiproliferative activity of the extract of I. tuba leaf was evaluated using MCF-7 and HeLa cells. The results indicated a reduction of cell viability of 37.43 and 41.89% of MCF-7 and HeLa cells respectively. The methanol extract of I. tuba leaf proved to be effective in protecting the cells against oxidative stress. This is the first report on the in vitro cytotoxicity effect of I. tuba leaf extract on MCF-7 and HeLa cells.