Data science is an interdisciplinary discipline that employs big data, machine learning algorithms, data mining techniques, and scientific methodologies to extract insights and information from massive amounts of structured and unstructured data. The healthcare industry constantly creates large, important databases on patient demographics, treatment plans, results of medical exams, insurance coverage, and more. The data that IoT (Internet of Things) devices collect is of interest to data scientists. Data science can help with the healthcare industry's massive amounts of disparate, structured, and unstructured data by processing, managing, analyzing, and integrating it. To get reliable findings from this data, proper management and analysis are essential. This article provides a comprehensive study and discussion of process data analysis as it pertains to healthcare applications. The article discusses the advantages and disadvantages of using big data analytics (BDA) in the medical industry. The insights offered by BDA, which can also aid in making strategic decisions, can assist the healthcare system.

The word “theranostics” describes an emerging trend in medicine in which the distinction between diagnosis and therapy blurs. Light or photo is used in theranostics to obtain high precision and personalised treatment. As only malignant tissues need to be spared, photo‐triggered theranostics provide highly selective targeting using real‐time imaging. Using nanotechnology to organise a dual‐modality approach is an efficient way to circumvent pharmacokinetic limitations. Photodynamic therapy has been used successfully in the clinic for a while now, and this has paved the path for photo‐triggered theranostics to be developed. The use of light‐activated theranostic nanoforms has progressed from preclinical studies in animals and labs to clinical trials in humans. As both nanomaterials and their methods of manufacture advance, the theranostic approach becomes more nuanced and may be used in a wider range of real‐time imaging and therapy modalities. The depth of anatomical access is also expanding because of developments in light delivery technologies. Combined, these innovations will hasten early cancer diagnosis and make tailored treatment more feasible. A non‐invasive assessment approach also increases patient compliance and reduces risk. Researchers constantly make strides in their effort to create more versatile photo‐sensitive nanoparticles. With any luck, photo‐triggered theranostics may significantly reduce toxicity. In order to provide a better and safer clinical outcome in cancer therapy, this review aims to highlight the latest and greatest innovation research in the domain of nanotheranostics and its photo‐triggering, and to sketch the possibilities for further progression and integration of nanoconstructs and photo‐delivery, and trying to target approach in photo‐triggered theranostics.