scholarly journals Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance

2021 ◽  
Vol 3 ◽  
Author(s):  
Quentin Haas ◽  
Nikolay Borisov ◽  
David Vicente Alvarez ◽  
Sohrab Ferdowsi ◽  
Leonhard von Mayenn ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Risk Assessment ◽  
Vaccine Development ◽  
Early Stage ◽  
Pharmaceutical Companies ◽  
Vaccine Production ◽  
Future Potential ◽  
Overall Performance ◽  
Contemporary Situation ◽  
The Impact

The 2019 coronavirus (COVID-19) pandemic revealed the urgent need for the acceleration of vaccine development worldwide. Rapid vaccine development poses numerous risks for each category of vaccine technology. By using the Risklick artificial intelligence (AI), we estimated the risks associated with all types of COVID-19 vaccine during the early phase of vaccine development. We then performed a postmortem analysis of the probability and the impact matrix calculations by comparing the 2020 prognosis to the contemporary situation. We used the Risklick AI to evaluate the risks and their incidence associated with vaccine development in the early stage of the COVID-19 pandemic. Our analysis revealed the diversity of risks among vaccine technologies currently used by pharmaceutical companies providing vaccines. This analysis highlighted the current and future potential pitfalls connected to vaccine production during the COVID-19 pandemic. Hence, the Risklick AI appears as an essential tool in vaccine development for the treatment of COVID-19 in order to formally anticipate the risks, and increases the overall performance from the production to the distribution of the vaccines. The Risklick AI could, therefore, be extended to other fields of research and development and represent a novel opportunity in the calculation of production-associated risks.

scholarly journals Applications of Artificial Intelligence Technologies in COVID-19 Research: A Bibliometric Study

2020 ◽  
Author(s):  
Md Mahbub Hossain ◽  
Shah Akib Sarwar ◽  
E. Lisako J. McKyer ◽  
Ping Ma
Keyword(s):  
Artificial Intelligence ◽  
Vaccine Development ◽  
Early Stage ◽  
Clinical Care ◽  
Public Health Research ◽  
Bibliometric Study ◽  
Stage Of Development ◽  
Epidemiological Characteristics ◽  
Research Domains ◽  
Applications Of Ai

The novel coronavirus disease (COVID-19) pandemic has impacted health and wellbeing globally. To strengthen preventive and clinical care amid this pandemic, technological innovations like artificial intelligence (AI) are increasingly used in different contexts. This bibliometric study aimed to assess the current scholarly development and prominent research domains in applications of AI technologies in COVID-19 research. A total of 105 articles were retrieved from MEDLINE database that emphasized on the use of AI in the context of COVID-19. Most articles had multiple authors with a collaboration index of 7.18. Moreover, most of the articles were produced from the USA (22.86%) and China (21.9%), whereas developing countries were underrepresented among the contributing nations. Furthermore, several research domains were identified, including prevention and control, diagnostics, epidemiological characteristics, therapeutics, psychological conditions, and different areas of data sciences related to COVID-19. The current bibliometric evidence shows the early stage of development in this field, which necessitates equitable applications of AI in COVID-19 research emphasizing on health disparities, socio-legal issues, vaccine development, and applied public health research in this pandemic.

PANDA as a Startup-Orientated Cooperative Innovation Strategy for the Chemical and Pharmaceutical Industry

2021 ◽  
pp. 1-29
Author(s):  
Victoria Wolf ◽  
Renata Dobrucka ◽  
Robert Przekop ◽  
Stephan Haubold
Keyword(s):  
Pharmaceutical Industry ◽  
Success Factors ◽  
Early Stage ◽  
Innovation Strategy ◽  
Pharmaceutical Companies ◽  
Innovation Development ◽  
Key Success Factors ◽  
Cooperative Innovation ◽  
Innovation Attributes ◽  
The Impact

Generating innovations is one of the key success factors of companies and organizations. To constantly create new innovations, an effective innovation strategy must be implemented by companies. Therefore, a variation of different strategic frameworks has been formulated. One framework which combines the idea of Open Innovation with startup-based interaction is the startup-orientated cooperative innovation (SOCI) strategy. The PANDA initiative of Fresenius University of Applied Science can be characterized as a coupled process of the SOCI framework. This paper presents the results of a survey, analyzing the impact of PANDA on the innovation strategies of the chemical and pharmaceutical industry based on the innovation attributes defined by the Oslo Manual 2018. The survey was used to compare 12 PANDA project evaluations implementing by European chemical and pharmaceutical companies. The main results of this study show that PANDA represents an effective tool to foster early-stage innovation development and indicates general effectiveness of SOCI strategies for chemical and pharmaceutical companies.

scholarly journals Financial Inclusion in Emerging Economies: The Application of Machine Learning and Artificial Intelligence in Credit Risk Assessment

2021 ◽  
Vol 9 (3) ◽  
pp. 39
Author(s):  
David Mhlanga
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Risk Assessment ◽  
Credit Risk ◽  
Financial Institutions ◽  
Strong Impact ◽  
Credit Risk Assessment ◽  
Public Data ◽  
Credit Risk Analysis ◽  
The Impact

In banking and finance, credit risk is among the important topics because the process of issuing a loan requires a lot of attention to assessing the possibilities of getting the loaned money back. At the same time in emerging markets, the underbanked individuals cannot access traditional forms of collateral or identification that is required by financial institutions for them to be granted loans. Using the literature review approach through documentary and conceptual analysis to investigate the impact of machine learning and artificial intelligence in credit risk assessment, this study discovered that artificial intelligence and machine learning have a strong impact on credit risk assessments using alternative data sources such as public data to deal with the problems of information asymmetry, adverse selection, and moral hazard. This allows lenders to do serious credit risk analysis, to assess the behaviour of the customer, and subsequently to verify the ability of the clients to repay the loans, permitting less privileged people to access credit. Therefore, this study recommends that financial institutions such as banks and credit lending institutions invest more in artificial intelligence and machine learning to ensure that financially excluded households can obtain credit.

scholarly journals Impact of Artificial Intelligence on Vietnam Commercial Bank Operations

2020 ◽  
Vol 6 (07) ◽  
pp. 296-303
Author(s):  
Sang My Tang ◽  
Hung Nguyen Tien
Keyword(s):  
Artificial Intelligence ◽  
Risk Assessment ◽  
Commercial Bank ◽  
Operations Research ◽  
Research Study ◽  
Banking Industry ◽  
Secondary Data ◽  
And Performance ◽  
The Impact ◽  
Day By Day

Through secondary data, the research study about the impact of artificial intelligence (AI) on commercial bank operations. Research results show that AI is being applied in the banking industry with many different applications such as Chatbot, risk assessment, anti-money laundering, fraud detection, and algorithmic... The application of AI in the banking industry is changing day by day, but the trend of AI application of the bank focuses on three goals that affect the bank's operations. The impact of AI on banking operations including the impact on customer experience, the impact on the bank's cost and performance, the impact on risk management, and the impact on bank compliance.

scholarly journals The Potential Role of the Artificial Intelligence in Combating Climate Change and Natural Resources Management: Political, Legal and Ethical Challenges

2021 ◽  
Vol 4 (3) ◽  
pp. 111-131
Author(s):  
Olena Lozo ◽  
Oleksii Onishchenko
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Natural Resources ◽  
Social Life ◽  
Early Stage ◽  
Legal Regulation ◽  
Natural Resources Management ◽  
Resources Management ◽  
The Impact

The aim of the article is to study the role of artificial intelligence (AI) in solving current issues of climate change, environmental protection and natural resources management. The advantages and threats of using AI for the development of political and legal parameters for ensuring the safe and effective implementation of technological system, as well as ensuring sustainable control over its functioning and development trends, are analyzed. The relevance of the topic is substantiated by the fact that the legislative basis in this area is at the early stage of formation, while the scale of the impact of AI on all the aspects of social life may be impossible to accurately foresee. A special attention is paid to the analysis of the legal regulation of these issues in the context of European Union and Ukraine. The present work is one of the few that addresses three issues: climate change, the growing influence of artificial intelligence, and the possibility of legal regulation of the use of AI to solve urgent environmental problems without threatening the fundamental human rights and freedoms.

scholarly journals Indian Pharma—Some Challenges and Acceptances

2020 ◽  
Vol 16 (01) ◽  
pp. 38-40
Author(s):  
Sajna T.
Keyword(s):  
Artificial Intelligence ◽  
Research And Development ◽  
Pharmaceutical Companies ◽  
Common People ◽  
Life Saving ◽  
Business Enterprises ◽  
The Impact ◽  
Modern Technologies

Business enterprises are an important organ of society. The impact of a business enterprise’s motive will directly affect society, which includes environment, consumers, employees, suppliers, and other stakeholders. Big pharma companies face a huge drop in revenue from blockbuster drugs coming off patent. Without generating revenues through sales, these companies will struggle to fund the development of new life-saving drugs. Artificial intelligence (AI) can be a powerful tool in the pharmaceutical industry’s research and development. So with the help of modern technologies, pharmaceutical companies should aim for quality but cheap products for common people and serve society better.

Designing Risk Qualitative Assessment on Fiber Optic Instalation Project in Indonesia

2018 ◽  
Vol 2 (01) ◽  
Author(s):  
Devi Pratami
Keyword(s):  
Risk Assessment ◽  
Risk Analysis ◽  
Fiber Optic ◽  
Qualitative Assessment ◽  
Quality And Safety ◽  
Project Implementation ◽  
Cost Impact ◽  
Implementation Assessment ◽  
The Impact ◽  
Impact Cost

A project always has risks that can lead to project failure. In the project, a risk analysis is required to provide an evaluation for the project to proceed as planned. In the event of inadequate planning and ineffective control, it will result in irregularities identified as a risk to the project. This study aims to analyze the qualitative risk on Fiber Optic Installaion project in Sukabumi, West Java, Indonesia. In addition, risk assessment is undertaken on project implementation. Assessment of risk using the impact and probability to measure the impact of risk occurrence. The impacts are more detailed by classified by time impact, cost impact, quality impact, safety and security impact, proximity. The result is there are 36 risk that may occur and mostly risks are associaated by quality and safety&security impact.

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