Around 70-90 % of medicines are given orally, and this reduces the value comparatively, whereas, Transdermal drug delivery system (TDDS) is one of the very effective ways of delivering drug to the body by limiting the site for administration and even reducing the number and size of dose given to achieve the result for systemic treatment through local dermal application. Transdermal drug delivery system is one of the innovative drug diffusion system that has gained interest overtime because of its advantages over oral route of administration, such as, non-invasive, high bioavailability, omits the first pass metabolism, has no pain and minimal/less side effects. The present analysis emphases on the herbal approach in TDDS and eliminating the inconvenience caused in oral route of administration such as, unpleasant taste, odour, colour, and side effects like gastritis. The main objective behind of development of an alternate novel dosage form is to reduce the inconvenience/problem caused to the patient and increase the efficacy, success and protection of the drug. This evolution aims at formulating the adhesive patches by integrating herbal sources. The synthetic drugs are developed to treat complicated disease but these medications are themselves related to many side effects, it is where the nature comes in, herbal source on other hand is more effective, safe and easily available. There are different herbal patches available that aids in weight loss, quit smoking, alleviates stress and anxiety, to reduce abdominal cramp, rheumatic pain, to lower blood glucose level as an antidiabetic, etc. Integration of Novel drug delivery systems like TDDS with Indian ayurvedic medicines and pure plant extracts offers significant potential to treat various diseases.

It is aimed, with the use of modern sciences & technologies and also the use of new, latest and future technologies, such as artificial intelligence, to develop enhanced and extended ways to promote the technology for forensics of all its sectors (AI). A program or computer program is capable of carrying out human functions such as visual awareness, voice recognition, cognitive reasoning, strategic thinking, understanding from experiences, and solving complicated issues at a greater rate and with smaller mistake rates than humans. AI is also the most developing sector for advances in the field of forensics and the system of justice. In today's situation, specialists are faced with numerous problems because of enormous quantities of data, minute facts in the chaotic and complex environment, traditional lab architecture, and sometimes inadequate information, which might fail to do an inquiry or a miscarriage of justice. AI is a waffle to combat the difficulties of machine learning and profound learning. Case-based reasoning for error-free and objective outcomes in many forensic areas, neural networks, and reproductive results. The study discusses AI's current and potential future uses in forensic science. Artificial intelligence may be used in a variety of applications, including blood pattern recognition and analysis, crime scene reconstruction, digital forensics, image processing, and, of course, satellite monitoring.

Hydrogels are one of the most extensively studied novel drug delivery dosage forms owing to their satisfactory results in drug delivery in various conditions, including pain management, immunomodulation, carcinomas, healing of wounds, and cardiology. A crosslinked polymeric network and an optimum amount of water combine to form hydrogels. Due to their specific properties such as biocompatibility, biodegradability, hydrophilicity, and non-toxic to biological tissues, hydrogels are demanding biomaterials. Furthermore, due to their programmable physical characteristics, controlled degradation behavior, and capability to preserve unstable medicines from degradation, hydrogels serve as an advanced drug delivery system in which diverse physiochemical interactions with the polymeric matrix containing embedded medications control their release. Despite significant challenges remaining, there has been significant progress in recent years in overcoming the clinical and pharmacological constraints of hydrogels for drug delivery applications This review covers various hydrogel-forming polymers, strategies for crosslinking of gelling agents, and release mechanisms from the hydrogel. Moreover, the current work includes a few marketed hydrogel preparations and patent rights associated with it, describing its mechanism of action against the underlying diseases.

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Similar to animal and human studies, the data show that when many animal models are extrapolated to humans, reliability is limited when it comes to predicting drug effects. This leads to an unbalanced waste of time and money and nightmares during drug development because the drug works well in animals or pre-clinical models and therefore fails in clinical studies or clinical trials, or vice versa. In this technique, machine and deep learning (M and D) is a subset of artificial intelligence. We hope this will eliminate the need for lengthy searches, reduce the number of animals sacrificed in the strategy, and reduce the cost and time required for testing. We recognize that full replacement of animals in toxicological or pre-clinical studies and tests remains a challenge - we acknowledge M and D learning-based animal toxicity prediction can be the key.