Current Artificial Intelligence - Volume 3, Issue 1, 2025

Internet of Things (H-IoT) technologies related to health are becoming increasingly important in managing patient health. These include preventing disease, monitoring patient functions in real-time via telemonitoring, testing treatments, tracking fitness and well-being, distributing medications, and gathering data for health research. H-IoT promises numerous advantages for healthcare. However, it also raises several ethical issues due to the dangers of using Internet-enabled devices, the delicate nature of data about health, and how these issues influence the healthcare system. Healthcare IoT is designed to work in both public and private domains. The sensors and equipment are carried by the person or placed in locations such as homes, workplaces, or hospital wards. These circumstances allow the third party a chance to gather and analyze information about a person's behavior or health. While remote monitoring and faster response healthcare is getting better these days, the technologies used in it also present chances for data or personal privacy breaches. It has been noted that malevolent attackers targeting mobile devices typically have specific objectives, such as obtaining user or patient data, causing harm to system resources, or even terminating vital programs. Concerns over data privacy and autonomy, data quality, intellectual property, algorithmic bias, unprotected consumer gadgets, hackable automobiles, and the responsibility of IoT systems are some ethical challenges surrounding the Internet of Things (IoT). Additionally, potential loss of trust, invasions of privacy, improper use of data, inconsistent copyright, digital divide, identity theft, difficulties with control and information access, and freedom of speech and expression are some more concerns. Methods like algorithmic social contracts, programming moral behavior, and rules and codes of ethics for IoT developers must all be used to address these ethical dilemmas.

The revolution of Artificial Intelligence has created a greater change with accelerated change in Pharmaceutical product development. Artificial intelligence reduces the workload of humans, improves the target and thereby increases the productivity of pharmaceutical products. The large volume of data can be integration with automation. Artificial intelligence-based drugs have entered clinical trials and, in a few instances, came to market recently. AI utilizes systems and software that can interpret and learn from the input data to make independent decisions for accomplishing specific objectives. Artificial intelligence assists in rational drug design, decision-making, right therapy, personalized medicine, clinical data management, etc. In pharmaceutical formulation development artificial intelligence supports in deciding a suitable excipient for the pharmaceutical formulation development, closely monitoring and modifying a pharmaceutical development process, and ensures in-process specification compliances. Artificial intelligence predicts the development process, toxicity, and biological activity of a desired compound. Overall, the hit and lead drug molecules can be identified by artificial intelligence. This study highlights the impactful use of artificial intelligence in diverse areas of the pharmaceutical sectors viz., drug discovery and development, drug repurposing, improving pharmaceutical productivity, clinical trials, etc. The ongoing challenge, and ways to overcome them, along with the future of AI in the pharmaceutical industry, is also discussed.

Soft robots can revolutionize tailored therapy. Personalized medicine tailors a patient's treatment to their genetics, lifestyle, and medical history. Soft robotics in personalized medicine gives a unique potential to build safe, efficient, and tailored medical treatments. Soft robots employ soft, flexible materials that fit the human body. They are ideal for surgery, rehabilitation, and medicine administration, where precision and safety are critical. Soft robots are safe and can interact with people, making them ideal for healthcare. Surgical soft robotics may be employed in personalized medicine. Soft robots can do less invasive surgeries with fewer incisions and tissue damage. This may help people heal faster and with fewer issues. Soft robots can also perform surgery in hard-to-reach areas without traditional surgical equipment. Rehabilitation institutions may use soft robots to help patients recover. Soft robots may help those with mobility issues. Soft robots may also provide patients feedback during rehabilitation, improving range of motion and functioning. Drug delivery, surgery, and rehabilitation may be conducted using soft robotics. Soft robots can administer drugs to tumors and other harmful regions. This may reduce drug side effects and boost efficacy. Soft robotics may be beneficial in personalized medicine, but several challenges must be overcome before this technology can be extensively employed in clinical settings. One of the biggest challenges is creating soft robots that can work reliably in the complex human body. Soft robots must do their duties precisely and correctly while enduring physiological stress. Soft robot control systems are also tricky. Conventional control methods struggle to govern soft robots due to their great flexibility and deformability. Soft robots need novel control techniques to move and behave in real-time. Finally, soft robotics in personalized medicine provides a unique opportunity to build highly tailored, least invasive, and secure medical interventions. Soft robots might revolutionize medication delivery, rehabilitation, and surgery. Before soft robots are extensively employed in healthcare, various challenges must be overcome. Soft robots need additional study and development to fully fulfill their promise in tailored medicine.