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Alzheimer's disease (AD) is a neurodegenerative disease in which genetic factors contribute approximately 70% of etiological effects. Studies have found many significant genetic and environmental factors, but the pathogenesis of AD is still unclear. With the application of microarray and next-generation sequencing technologies, research using genetic data has shown explosive growth. In addition to conventional statistical methods for the processing of these data, artificial intelligence (AI) technology shows obvious advantages in analyzing such complex projects. This article first briefly reviews the application of AI technology in medicine and the current status of genetic research in AD. Then, a comprehensive review is focused on the application of AI in the genetic research of AD, including the diagnosis and prognosis of AD based on genetic data, the analysis of genetic variation, gene expression profile, gene-gene interaction in AD, and genetic analysis of AD based on a knowledge base. Although many studies have yielded some meaningful results, they are still in a preliminary stage. The main shortcomings include the limitations of the databases, failing to take advantage of AI to conduct a systematic biology analysis of multilevel databases, and lack of a theoretical framework for the analysis results. Finally, we outlook the direction of future development. It is crucial to develop high quality, comprehensive, large sample size, data sharing resources; a multi-level system biology AI analysis strategy is one of the development directions, and computational creativity may play a role in theory model building, verification, and designing new intervention protocols for AD.

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Over the last few decades, either the single-pill therapy or the combinations of pill therapy were at the cutting edge in drug design and development processes, which not only proved to have treated innumerable complications but also have proved its drastic need in the past and even in the present watch. This review has a briefing on the comparison of the different aspects of prescriptions as polypharmacy, combination therapy along with multi targets drugs. As the time passed, the need for an alternative to overcome the several possible ill-effects like drug-drug interaction, non-adherence, fixed-dose medications for all patients, etc., also have paved the way to showcase the in-efficiency in treating the complex nexus cascade that has raised a thought amongst for a newer brand new perspective to take a turn and transmute the concept of drug design. From a single targeted therapy to a multi-targeted approach in this drug design pattern. It also mentions the colligation of different pharmacophores entities to obtain a better potent drug with better ADMET. An overview of how 'efficient, relevant, and important multi-target drug therapy would be over a combination of pills' further have been sketched and depicted based on past prototype examples and present scenarios. The feasibility of the concept was investigated by an in silico approach where a colligated molecule of tranexamic acid and Meloxicam was analysed for its binding affinity towards the parent receptors. The newly designed, the colligated molecule was found to be more active than the parent drugs to multiple targets. The evaluation of the concept leads to a new horizon of MTD, which can be adopted through several approaches, including the colligation of the already existing drugs.

Rasashastra is a branch of Ayurveda dealing with metal & minerals. The Rasa Aushadhi are the back bone of Ayurvedic medicine. Metal and mineral are the integral part of therapeutics in Ayurveda and Tamra is one such metal which is highly poisonous & several times more poisonous than poison itself because one poison cause only one Dosha (toxic effect) while unpurified and unreduced Tamra may have eight Dosha.[1] Which has been described as Ashtamahadosa in classical text book. but if this Tamra is well processed through all pharmaceuticals process, it can be converted into one of the best and effective medicine. Tamra Bhasma is useful in treatment in various disease condition like Udar Vyadhi, Pandu[2] etc. In this study a descriptive study of Tamra and its therapeutic potential basis which are mentioned in our classical Ayurveda textbook with special reference to its role in Hepatomegaly is studied by searching and analyzing all Ayurvedic and all modern perspective.