Presently herbal sunscreens are widely used by almost everyone on this planet to prevent from harmful effects of UV radiation from sunlight, Due to the hastypaced life of today, our life is affected by pollution and harsh synthetic chemicals, hence, nature has rendered us with its everlasting notable ingredients of herbal. The major cause of sunburn is UV rays which leads to precarious skin cancer. Sunscreen is a topical product that absorbs or reflects some of the sun's UV radiation on the skin from excessive exposure to UV radiation. It has the potential to prevent Sunburn and reduce the harmful effects of the sun such as premature aging and skin cancer. The present research work portrays the formulations and evaluation of tapical photoprotector, containing antioxidant, anti-malignant, wound healing. moisturizer, & other photo-protective.

Background — Beginning in late September–October 2025, clusters of acute pediatric illness and deaths in India were epidemiologically linked to certain oral cough/cold liquid medicines. Laboratory testing found high levels of diethylene glycol (DEG) in specific product batches. This review summarizes the events, the toxicology of implicated contaminants, failures in manufacturing and oversight, and policy and clinical recommendations. Methods — Rapid narrative review of public health alerts, national investigation reports, major press coverage, WHO and regulatory agency releases, and peer commentary published during the outbreak (Sept–Oct 2025).

The terms "quality" are used interchangeably in the medical radiology professions due to the historical and current evolution of practice, technology, terminology, and programs related to quality. Quality Control (QC), Quality Assurance (QA), and Management (QM) in colloquial terms. The purpose of this White Paper is to clarify QM, QA, and QC in the context of medical physics and to offer guidance on the proper usage of these terms in the American College of Radiology (ACR) Practice Parameters and Techni-call Standards, which can be applied to other guidance initiatives. The explanation of these complex terms in nuclear medicine, radiology, and radiation oncology environments will not only make the Medical Physics Technical Standards and Practice Parameters easier to understand and use, but they will also give ACR's clinical physician-led Practice Parameters—which also use these crucial terms for monitoring equipment performance for safety and quality—a foundation and clarity. Additionally, by offering a common framework that differentiates the different kinds of responsibilities carried out by medical physicists and others in the medical radiological environment this will support the continued development of the professional practice of clinical medical physics. Examples of how QM, QA, and QC can be used in relation to ACR Practice Parameters and Technical Standards are given.

Computer-aided drug design, or CADD, employs mathematical equations to predict the features and architecture of molecules, whether they're established, novel, or still in the realm of the unknown. A variety of techniques are utilized by these programs, encompassing things like quantum mechanics, hybrid QM/MM, molecular bonding, and modeling, as well as molecular mechanics and QSAR, to delve into the intricacies of molecular interactions. Typically, the full arc of drug discovery, beginning with the identification of a prospective drug and culminating in clinical trials, spans roughly a year. When CADD is integrated into a company's research and development workflow, it holds the promise of significantly reducing the expenses associated with drug design and development, perhaps by as much as half. Computational methods provide a boost to the drug development timeline by facilitating data analysis and offering direction for trials. CADD essentially takes two main forms: ligandbased drug design (LBDD) and structure-based drug design (SBDD). SBDD leverages threedimensional structural information from targets such as proteins or RNA to pinpoint crucial sites and interactions that are essential for their biological roles. Computer-Aided Drug Design (CADD) is a revolutionary force that bridges the fields of biology and technology in the ever-changing field of drug discovery. The historical development of CADDs and their classification into structure-based and ligand-based approaches are reviewed in this paper. methods, and how important it is for rationalizing and accelerating drug discovery. As CADD develops, protecting data privacy and integrating a variety of biological data become critical. There are still issues that call for strong ethical frameworks and algorithm optimization. CADD's predictive power is increased by combining machine learning and artificial intelligence, but scalability issues and ethical issues still exist. Platforms such as Open-Source Malaria serve as examples of global initiatives and collaborative efforts that highlight the democratization of drug discovery.

Since the pharmaceutical industry is expanding quickly, regulatory affairs are crucial. Professionals in regulatory affairs are needed to meet the demands of industries in order to compete globally. A regulatory affair is a profession that serves as a liaison between government agencies worldwide and the pharmaceutical industry. Protecting human health guaranteeing the efficacy, safety, and quality of medications, and ensuring the suitability and accuracy of product information are the objectives of regulatory affairs professionals. This article examines the development of regulatory affairs, its function in the pharmaceutical sector, and its role in putting regulations into place that support the industry's expansion.[1] They are responsible for making sure businesses follow all rules pertaining to the development, production, manufacturing, and promotion of pharmaceutical products. In response to growing public health concerns and increased regulatory oversight, the role of regulatory affairs has grown to include support for science-driven policies and advice on ethical issues in research and marketing. Ensuring that pharmaceutical products are dependable, effective, and of the highest quality while complying with all relevant rules and standards is the aim of regulatory concerns in the pharmaceutical industry. Every nation has its own regulatory bodies that work with international organizations such as the FDA, ICH, WTO, PAHO, WIPO, and WHO.[2]

Artificial intelligence (AI) has become a powerful tool that combines human intelligence and knowledge with machine capabilities and provides solutions to complex challenges. AI technology has brought about a transformation in drug discovery, formulation and testing of pharmaceutical dosage forms. Using AI algorithms, it is possible to analyze a lot of data, including searches. This allows for a more efficient and targeted approach to drug discovery, increasing the success of drug approvals. AI helps reduce costs by optimizing research and development processes. The personalized medicine approach can be facilitated with AI that analyses patient data, leading to more effective treatment outcomes and better patient treatment compliance. This review article explores the wide range of AI applications in drug discovery, drug delivery dosage form design, process optimization, pharmacokinetic testing and pharmacodynamic studies. This article provides an overview of the different AI-based approaches used in pharmaceutical technology, highlighting their advantages and disadvantages. However, continued investment and exploration of AI in the pharmaceutical industry offers exciting prospects.

A specific protein or gene-based biomarker is increased or altered in bodily fluids or tissues at the start of cancer. The survival rate can be significantly increased or effective treatment using various modalities can be facilitated by early detection of these markers. Even while advanced imaging methods like Computed Tomography, Positron Emission Tomography, and Magnetic Resonance Imaging have enhanced performance due to nanotechnology, they are not appropriate for the early detection or quantification of cancer biomarkers. For early cancer diagnosis, other methods based on cell shape and microscopy (biopsies) are also insufficient. The only chance for early cancer diagnosis in the near future is through the use of nanotechnology-reformed immunoassays and sensors to identify cancer biomarkers. The design, production, sensitivity, and multiplexing of these immunoassays/sensors in biomarker detection have all been amazingly improved by the attractive qualities of nanoparticles. In this section, we have examined the latest developments in immunogens methods that were created by taking advantage of the special qualities of gold nanoparticles. We have also talked about potential future developments in single-molecule biosensing, paper-based analytical tools, and gold nanoparticle-coupled microfluidic sensors. Devices for the detection and measurement of physical or chemical properties at the nanoscale, with applications in health care, environmental monitoring, industrial processes and food safety. Early detection and diagnosis of cancer is essential for successful treatment and better patient outcomes. Types of nanosensors used in the detection of cancer includes optical, magnetic and electrochemical elements. Quantum dots, carbon nanotubes and gold nanoparticles offer unique advantages in cancer diagnosis and treatment, enabling accurate imaging, targeted drug delivery and better treatment strategies. Gold nanoparticles have several mechanisms of action in the treatment of cancer, including photothermal therapy, cancer cell targeting, biomarker discovery, imaging techniques and nanosensors. They can generate heat, improve the effectiveness of radiotherapy and target cancer cells for targeted drug delivery. They can also be linked to biomarkers, which allow early diagnosis and monitoring of the disease. Recent advances in Nanosensors have improved sensitivity and specificity, allowing non-invasive and efficient cancer screening. Functionalized nanoparticles and signal amplification techniques can improve the sensitivity and detection limits of nanosensors, reducing further concentrations of cancer cells.[1]

In the past ten years, stem cell research has made progress as a new way to treat diseases in the fields of tissue engineering, regenerative medicine, cell and gene therapy. This has led researchers to create clinical-grade cell and tissue products. To make sure that the product is safe, effective, and of good quality, it must be carefully controlled during the process of going from research to clinical use. The regulatory body for the production of cell and tissue should have designed approved a current good manufacturing practice (cGMP) facility for making these clinical-grade cell and tissue-based products. The regulatory agencies around the world enforce cGMP, which is the system or practice that controls the authorisation and licensing of manufactured goods like drugs, food and drinks, cosmetics, medical devices, and cell and tissue-based products. The quality management system is the most important part of cGMP for controlling the manufacturing process (which includes quality control testing and release of cell therapy products), facility management (which includes design, environmental control and monitoring, maintenance, equipment, personnel access, cleaning), validation, personnel training, competency, and records. To make a safe and high-quality product for people to use, the cGMP facilities for cell and tissue therapy should be built to a higher standard and follow the pharmaceutical manufacturer's guidelines. The facility needs to have a cleanroom that is the right size and has different class or grade areas (Grade A, B, C, and D) based on how clean the air and particles are. The facility's environmental control, monitoring, and upkeep are very important to keep contaminants out and make sure it runs smoothly. Prior to the manufacturing and therapeutic release of cell and tissue-based products, the standard operating procedures (SOP) for all associated processes must be established and validated. This chapter will cover the cGMP quality system, facility management, making clinical-grade cell and tissue-based products, and ethical issues.

Machine Learning (ML), a branch of Artificial Intelligence, is transforming the pharmaceutical and healthcare industries, particularly in vaccine development and cold chain management. ML algorithms enable rapid analysis of large biological datasets, helping researchers identify potential vaccine targets, optimize antigen selection, and predict immune responses. In preclinical and clinical stages, ML aids in the design of effective vaccine formulations, dose optimization, and the identification of adverse effects through predictive modeling. These advancements significantly reduce the time and cost of vaccine discovery, which is especially crucial during global health emergencies such as the COVID-19 pandemic. Beyond development, maintaining vaccine efficacy requires strict temperature control, known as the cold chain. ML-based monitoring systems enhance cold chain logistics by predicting equipment failures, optimizing storage conditions, and improving transportation routes. Furthermore, ML can forecast demand and distribution patterns, enabling efficient supply chain management across diverse geographic regions.Overall, the integration of ML in vaccine research and cold chain management enhances accuracy, efficiency, and reliability throughout the vaccine life cycle. As technology advances, ML-driven systems are expected to play a crucial role in achieving faster, safer, and more cost-effective vaccine delivery to global populations.

In many cultures, Rumex nepalensis is a well-known traditional medicinal herb that is used to make medications and food. Nowadays, there is a lot of interest in the pharmacological and phytochemical analyses of R. nepalensis. Thus, the phytochemical analysis and pharmacological uses of R. nepalensis are the primary subjects of the current review. Different secondary metabolites were extracted from the plant's roots and aerial parts, including emodin, endocrocin, chrysophanol, neopodin, physcion, torachrysone, aloesin, catechin, quercetin, and resveratrol, as well as their derivatives.The pharmacological properties of R. nepalensis extracts and isolated substances include anti-inflammatory, antioxidant, antibacterial, wound-healing, anti-plasmodial, and anti-ulcer properties.R. nepalensis has various sections that are important for ethnomedicine. R. nepalensis is a possible source of isolated chemicals and extracts with pharmacological activity. The manufacture of contemporary medications may benefit greatly from the use of R. nepalensis in the future.