Trophic ulcers have emerged as one of the major complications following diabetes mellitus (DM) and Hansen’s diseases (HD). In this case series, the study attempted total contact plaster boot using a readily available plaster of Paris to treat trophic ulcer for 10 subjects. A total of five subjects with DM and five subjects with HD were included based on the study criteria. Pre and post test measure of wound measurement size following total contact plaster boot were taken as an outcome measure. All ten subjects showed decrease in size of wound following fifteen days of treatment. No adverse effects were associated with this type of treatment. Subjects with trophic ulcer may benefit from the application of total contact plaster boot.
Artificial intelligence (AI) has emerged as a powerful tool to revolutionize the healthcare sector, including drug delivery and development. This review explores the current and future applications of AI in the pharmaceutical industry, focusing on drug delivery and development. It covers various aspects such as smart drug delivery networks, sensors, drug repurposing, statistical modeling, and simulation of biotechnological and biological systems. The integration of AI with nanotechnologies and nanomedicines is also examined. AI offers significant advancements in drug discovery by efficiently identifying compounds, validating drug targets, streamlining drug structures, and prioritizing response templates. Techniques like data mining, multitask learning, and high-throughput screening contribute to better drug discovery and development innovations. The review discusses AI applications in drug formulation and delivery, clinical trials, drug safety, and pharmacovigilance. It addresses regulatory considerations and challenges associated with AI in pharmaceuticals, including privacy, data security, and interpretability of AI models. The review concludes with future perspectives, highlighting emerging trends, addressing limitations and biases in AI models, and emphasizing the importance of collaboration and knowledge sharing. It provides a comprehensive overview of AI's potential to transform the pharmaceutical industry and improve patient care while identifying further research and development areas.