Patentability challenges associated with emerging pharmaceutical technologies

2021 ◽  
Author(s):  
Srishti Aggarwal ◽  
Amrish Chandra
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Stem Cell ◽  
Personalized Medicine ◽  
Cell Therapy ◽  
Emerging Technologies ◽  
Healthcare Industry ◽  
Biological Therapies ◽  
Patent Laws ◽  
Patent Filing

According to the recent patent filing trends, it has been observed that certain pharmaceutical technologies are more popular than others and are commonly referred to as emerging technologies. The emerging technologies in the pharmaceutical sector include artificial intelligence, big data and certain advanced biological therapies such as personalized medicine and stem cell therapy. These trends have various applications in the medicine and healthcare industry. Since these technologies are relatively new and each of them is very unique in its own way, current patent laws are inadequate to deal with the complex challenges associated with them. A brief analysis of the challenges associated with these emerging technologies and their applications is discussed in this paper.

scholarly journals Exploring the Current Trends of Artificial Intelligence in Stem Cell Therapy: A Systematic Review

Cureus ◽  
2021 ◽  
Author(s):  
Mirra Srinivasan ◽  
Santhosh Raja Thangaraj ◽  
Krishnamurthy Ramasubramanian ◽  
Padma Pradha Thangaraj ◽  
Krishna Vyas Ramasubramanian
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Stem Cell ◽  
Cell Therapy ◽  
Stem Cell Therapy ◽  
Current Trends

scholarly journals Artificial intelligence and machine learning: changing paradigm in diagnostics and imaging

2019 ◽  
Vol 8 (1) ◽  
pp. 382
Author(s):  
Rahul Badwaik
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Healthcare Setting ◽  
Digital Transformation ◽  
Current Status ◽  
Healthcare Industry ◽  
Review Of The Literature

Healthcare industry is currently undergoing a digital transformation, and Artificial Intelligence (AI) is the latest buzzword in the healthcare domain. The accuracy and efficiency of AI-based decisions are already been heard across countries. Moreover, the increasing availability of electronic clinical data can be combined with big data analytics to harness the power of AI applications in healthcare. Like other countries, the Indian healthcare industry has also witnessed the growth of AI-based applications. A review of the literature for data on AI and machine learning was conducted. In this article, we discuss AI, the need for AI in healthcare, and its current status. An overview of AI in the Indian healthcare setting has also been discussed.

scholarly journals Stem cell therapy for chronic skin wounds in the era of personalized medicine: From bench to bedside

2019 ◽  
Vol 6 (4) ◽  
pp. 342-358 ◽  
Author(s):  
Elam Coalson ◽  
Elliot Bishop ◽  
Wei Liu ◽  
Yixiao Feng ◽  
Mia Spezia ◽  
...  
Keyword(s):  
Stem Cell ◽  
Personalized Medicine ◽  
Cell Therapy ◽  
Stem Cell Therapy ◽  
Skin Wounds ◽  
Chronic Skin

AI-Driven Big Healthcare Analytics

2021 ◽  
pp. 172-184
Author(s):  
Faiz Maazouzi ◽  
Hafed Zarzour
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Data Centers ◽  
Medical Data ◽  
Healthcare Industry ◽  
Healthcare Organizations ◽  
Healthcare Analytics ◽  
Digital Contents ◽  
Patients At Risk ◽  
Medical Big Data

With the increased development of technology in healthcare, a huge amount of data is collected from healthcare organizations and stored in distributed medical data centers. In this context, such data quantities, called medical big data, which include different types of digital contents such as text, image, and video, have become an interesting topic tending to change the way we describe, manage, process, analyze, and visualize data in healthcare industry. Artificial intelligence (AI) is one of the sub-fields of computer science enabling us to analyze and solve more complex problems in many areas, including healthcare. AI-driven big healthcare analytics have the potential to predict patients at risk, spread of viruses like SARS-CoV-2, spread of new coronavirus, diseases, and new potential drugs. This chapter presents the AI-driven big healthcare analytics as well as discusses the benefits and the challenges. It is expected that the chapter helps researchers and practitioners to apply AI and big data to improve healthcare.

scholarly journals Audit and tax in the context of emerging technologies: A retrospective analysis, current trends, and future opportunities

2021 ◽  
pp. 95-128
Author(s):  
Osama F. Atayah ◽  
◽  
Muneer M. Alshater ◽  
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Content Analysis ◽  
Tax Evasion ◽  
Emerging Technologies ◽  
Future Research ◽  
Prolific Author ◽  
Future Research Agenda ◽  
Publication Number ◽  
The Usa

This study aims to review the existing literature on audit and tax in the context of emerging technologies, besides providing future research agenda. A meta literature approach by combining bibliometric and content analysis was adopted to analyze 154 relevant English articles published in Scopus indexed journals, published over the last 35 years. Using RStudio, VOSviewer, and Microsoft Excel. Quantitative findings reveal that the USA is the top contributor and the most cited in the world. Brigham Young University, on the institutional level, is the most relevant affiliation. Concerning publication number, the Journal of Emerging Technologies in Accounting is the most relevant source. At the same time, the most cited source is the Decision Sciences journal. While the most prolific author is Miklos Vasarhelyi. Moreover, the emerging technologies, including big data, blockchain, and artificial intelligence, have significantly drawn accounting scholars interest from 2015 and thereafter. From the perspective of qualitative findings, the main focus shows that employing advanced technologies offers promising opportunities to mitigate the risk of tax evasion and enhance the auditors' efficiency. The content analysis reports two mainstreams tax and audit; each one is classified into three sub-streams, big data, artificial intelligence, and blockchain. This study contributes to present a clear and coherent understanding of the relevant exact literature and propose future research. However, the study review confines only on audit and tax fields, relying on the Scopus database.

scholarly journals Special Issue on Clinical Medicine for Healthcare and Sustainability

2020 ◽  
Vol 9 (7) ◽  
pp. 2206
Author(s):  
Teen-Hang Meen ◽  
Yusuke Matsumoto ◽  
Kuan-Han Lee
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Biomedical Engineering ◽  
Clinical Medicine ◽  
Healthcare Systems ◽  
Network Technology ◽  
Healthcare Industry ◽  
Special Issue ◽  
Scientific Prediction ◽  
Basic Medical

Recently, due to the advancement of network technology, big data and artificial intelligence, the healthcare industry has undergone many sector-wide changes. Medical care has not only changed from passive and hospital-centric to preventative and personalized, but also from disease-centric to health-centric. Healthcare systems and basic medical research are becoming more intelligent and being implemented in biomedical engineering. This Special Issue on “Clinical Medicine for Healthcare and Sustainability” selected 30 excellent papers from 160 papers presented in IEEE ECBIOS 2019 on the topic of clinical medicine for healthcare and sustainability. Our purpose is to encourage scientists to propose their experiments and theoretical researches to facilitate the scientific prediction and influential assessment of global change and development.

scholarly journals Reimagining the Future of Healthcare Industry through Internet of Medical Things (IoMT), Artificial Intelligence (AI), Machine Learning (ML), Big Data, Mobile Apps and Advanced Sensors

2019 ◽  
Vol 9 (1) ◽  
pp. 3014-3019
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Science Fiction ◽  
Medical Devices ◽  
Mobile Apps ◽  
The Internet ◽  
Healthcare Industry ◽  
Remote Locations ◽  
Internet Of Medical Things

From Bluetooth enabled hearing aids to robotic caretakers, wearable and smart devices industries are immensely contributing to the development of the healthcare industry with the help of Internet of Things (IoT). Latest technologies like Artificial Intelligence, 3D Printing, Big data, Machine Learning, Advanced Sensors, Mobile Applications and other technologies will continue to generate lot of opportunities for Medtech organizations. Some of the latest healthcare innovations practiced at present might have been seen or read by some of us only in science fiction movies or science fiction stories a long ago. Presently, IoT and Artificial Intelligence is creating a revolution in healthcare industry when it comes to diagnosis and treatment of varied diseases. From smartphones to robots, artificial intelligence is already making its presence felt in healthcare industry and as such it is progressively recognizing the transformative nature of IoT technologies which drives innovation in the development of connected medical devices. Gradual increase in the number of connected medical devices with the advent of technology advancements helps to capture and transmit medical related data wherever and whenever required to the concerned people and thus, it gave birth to the Internet of Medical Things (IoMT), where the Internet of Things (IoT) and healthcare meet. The IoMT helps to constantly monitor and alter (if required) the behvaiour of the patient and his/her health status in real time and also supports healthcare organizations to effectively streamline clinical processes, patient information and related work flows to enhance its operational productivity. The IoMT has made and continues to make the delivery of P4 Medicine (Predictive, Preventive, Personalized and Participatory) even for remote locations with the help of connected sensors and devices helping in real-time patient care. IoMT helps doctors and caregivers to provide patient care and support by constantly monitoring data related to patients through mobile apps and connected medical devices even when patient(s) or doctor(s) are located at remote locations. This research paper discusses about six use cases explaining how IoMT is applied in healthcare industry.

scholarly journals CONCEPTUAL FRAMEWORK FOR UNDERSTANDING EMERGING TECHNOLOGIES THAT SHAPE THE ACCOUNTING AND ASSURANCE PROFESSION OF THE FUTURE

2020 ◽  
Author(s):  
Atanasko Atanasovski ◽  
Zorica Bozinovska Lazarevska ◽  
Marina Trpeska
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Conceptual Framework ◽  
Information Needs ◽  
Business Processes ◽  
Industrial Revolution ◽  
Emerging Technologies ◽  
Current Accounting ◽  
Assurance Services

We are currently on the verge of the fourth industrial revolution (industry 4.0) that will fundamentally change the way in which businesses and individuals operate. It is characterized by the integration of both physical and virtual world with a new pulse for greater automation and autonomy of business processes without or limited need of human intervention. Cloud computing, the internet of things, big data and data analytics, artificial intelligence and machine learning, blockchain, augmented reality are among the most exploited contributing technologies. This paper provides a conceptual framework for emerging technologies with greatest disruptive potential for the accounting and assurance profession. We have surveyed the scarce literature with the aim of investigating the relationship and interplay between most potent emerging technologies and accounting and assurance services. Our findings suggest that cloud accounting, big data, blockchain, artificial intelligence and machine learning will most likely shape the accounting and assurance world for many organisations and future skills set pursued by professionals in order to add value. We conclude that current accounting research efforts are insufficient to understand and grasp the possible future interactions between the vibrant digital economy, its emerging technologies and the accounting profession, including the changing information needs of investors.

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