Ashutosh Tiwari
Abstract
Artificial intelligence becomes useful technology with enormous capacity and performance. Although it’s based on theoretical construct having extensive processing power for larger datasets. AI & machine learning algorithms strengthen the medical research and revolutionized the healthcare sector. ...
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Artificial intelligence becomes useful technology with enormous capacity and performance. Although it’s based on theoretical construct having extensive processing power for larger datasets. AI & machine learning algorithms strengthen the medical research and revolutionized the healthcare sector. In AI based system, prediction models are developed to identify key variables in any input datasets. Although, accuracy in the clinical healthcare is the major challenge for computer-based diagnosis and treatment process. Therefore, substantial improvement required for clinical identification due to risk associated with clinical complexity of the disease.
Anshuman Mishra; Yogesh Shukla; Ashutosh Tiwari
Abstract
COVID-19 risk spread rapidly with several clinical manifestations and public health challenges. Research and innovation in advanced materials should be focused on solving critical problems associated with diagnosis, treatment and control models. Important challenges of COVID-19 public health system indicated ...
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COVID-19 risk spread rapidly with several clinical manifestations and public health challenges. Research and innovation in advanced materials should be focused on solving critical problems associated with diagnosis, treatment and control models. Important challenges of COVID-19 public health system indicated to need of solutions based on cost, quality and universal availability in sustainable model. Standard healthcare models can be achieved by advanced technology of Artificial intelligence, IoT, Database analytics and advanced materials more effectively for mass community. Next-generation (“smart”) materials have capacity to contribute to theranostics models in better way with high accuracy in terms of performance and reliability. In summary, engineered nanoparticles and advanced technologies have translational potential. Being public health professionals, technologist and materials researchers involved in the prognosis research should develop certain priorities for the society.
Ashutosh Tiwari
Abstract
Today, the world is witnessing great advances in the healthcare industry through technological innovations that will lead to a brighter future. Technology and Innovation is playing a major role in clinical training, robotics, drug discovery, disease management and e-medicine field. Recent advent ...
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Today, the world is witnessing great advances in the healthcare industry through technological innovations that will lead to a brighter future. Technology and Innovation is playing a major role in clinical training, robotics, drug discovery, disease management and e-medicine field. Recent advent of Artificial Intelligence (AI) and Machine Learning (ML) has led to massive developments in the healthcare industry. This advancement has enabled the mining of complex data as it is based on artificial intelligence and machine learning algorithms, that processes language and image recognition which can be done for a controlled study of patients. Advanced technology is also playing a major role in drug safety through efficient drug manufacture. There are innovations with regard to mining medical records, and doing a controlled study, along with risk assessment in real-time systems, leading to a reduction in the cost of medical treatments and promising a healthy future.
Ashutosh Tiwari
Abstract
Healthcare technology continues to grow, in almost all usefully processes, involved from patient care to database management and from lab research to innovation in devices. Technological elevate in healthcare devices confer user-friendly services, while Artificial Intelligence (AI) in machines and computational ...
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Healthcare technology continues to grow, in almost all usefully processes, involved from patient care to database management and from lab research to innovation in devices. Technological elevate in healthcare devices confer user-friendly services, while Artificial Intelligence (AI) in machines and computational discipline acclaim overall sense of healthcare perspective. Today, there are many technological advancements and models that help in Drug discovery connections, minimizing errors in Health system, Maternal mortality, Drug-interaction risks and relationships among genes, environment, diseases and other entities. Researchers can produce new theories to utilize the subsequent unique representations and proof supported forecasts. Fuelled by intellectual stage, Watson for Drug Discovery conveys a psychological stage for the characteristic dialect to prepare in the existing area of Science This AI-based methodology gives Watson, for Drug Discovery, a chance to filter and break down the huge learning base more completely and quicker than straightforward enquiry instruments or unaided research groups.
