A note on robotics and artificial intelligence in pharmacy

2021 ◽  
Vol 08 ◽  
Author(s):  
Sankha Bhattacharya
Keyword(s):  
Artificial Intelligence ◽  
Development Process ◽  
Pharmaceutical Companies ◽  
Drug Products ◽  
Drug Molecules ◽  
Wide Range ◽  
Organ Tissue ◽  
Technical Solutions ◽  
And Robotics

: Artificial intelligence and robotics are two of the hottest and most recent technologies to emerge from the world of science. There is tremendous potential for these technologies to solve a wide range of pharmaceutical problems, including the reduction of the enormous amounts of money and time invested in the drug discovery and development process, technical solutions related to the quality of drug products, and an increase in the demand for pharmaceuticals. Nanorobotics is a new subfield that has emerged from the field of robotics itself. This technique makes use of robots that are as small as nano- or micron-sized to diagnose diseases and deliver drugs to the targeted organ, tissue, or cell. These techniques, as well as their various applications in the pharmacy sector, are extensively discussed throughout this article. Internationally renowned pharmaceutical companies are collaborating with Artificial Intelligence behemoths in order to revolutionise the discovery and development process of potential drug molecules and to ensure the highest possible quality in their products.

Artificial Intelligence And Robotics : A Changing And Challenging Future Of Pharmacy

2021 ◽  
Vol 01 ◽  
Author(s):  
Saranjit Singh ◽  
Geeta Rajput ◽  
R. K. Narang ◽  
Balak Das Kurmi
Keyword(s):  
Artificial Intelligence ◽  
Target Organ ◽  
Pharmaceutical Companies ◽  
Medicinal Products ◽  
New Science ◽  
Drug Molecules ◽  
Working Together ◽  
Organ Tissue ◽  
Technical Solutions ◽  
And Robotics

: Artificial intelligence and robotics are both trendy and new science word technologies. These advances can address many pharmaceutical problems, including reducing the vast amount of money and time spent on drug development and manufacturing, technical solutions related to the protection of medicinal products, and the medication demand. The new subfield of nanorobotics comes from robotics itself. In the diagnosis and supply of drugs to the target organ, tissue, and cell, robots' nano or micron-scale is used. All these strategies are extensively discussed in this review for each of their pharmacy applications. Renowned pharmaceutical companies are working together with giant Artificial Intelligence to revolutionize potential drug molecules' discovery, production, and efficiency.

The AAAI-13 Conference Workshops

AI Magazine ◽  
2013 ◽  
Vol 34 (4) ◽  
pp. 108-115
Author(s):  
Vikas Agrawal ◽  
Christopher Archibald ◽  
Mehul Bhatt ◽  
Hung Bui ◽  
Diane J. Cook ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Health Informatics ◽  
Imperfect Information ◽  
Intent Recognition ◽  
System Architectures ◽  
Wide Range ◽  
Trading Agent ◽  
Context Aware System ◽  
Plan Activity ◽  
And Robotics

The AAAI-13 Workshop Program, a part of the 27th AAAI Conference on Artificial Intelligence, was held Sunday and Monday, July 14–15, 2013 at the Hyatt Regency Bellevue Hotel in Bellevue, Washington, USA. The program included 12 workshops covering a wide range of topics in artificial intelligence, including Activity Context-Aware System Architectures (WS-13-05); Artificial Intelligence and Robotics Methods in Computational Biology (WS-13-06); Combining Constraint Solving with Mining and Learning (WS-13-07); Computer Poker and Imperfect Information (WS-13-08); Expanding the Boundaries of Health Informatics Using Artificial Intelligence (WS-13-09); Intelligent Robotic Systems (WS-13-10); Intelligent Techniques for Web Personalization and Recommendation (WS-13-11); Learning Rich Representations from Low-Level Sensors (WS-13-12); Plan, Activity, and Intent Recognition (WS-13-13); Space, Time, and Ambient Intelligence (WS-13-14); Trading Agent Design and Analysis (WS-13-15); and Statistical Relational Artificial Intelligence (WS-13-16).

Intelligent MAS in System Engineering and Robotics

2012 ◽  
pp. 175-182
Author(s):  
G. Nicolás Marichal ◽  
Evelio J. González
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Multiagent Systems ◽  
Single Agent ◽  
System Engineering ◽  
Complex Task ◽  
User Training ◽  
Wide Range ◽  
Mail Address ◽  
And Robotics

The concept of agent has been successfully used in a wide range of applications such as Robotics, e-commerce, agent-assisted user training, military transport or health-care. The origin of this concept can be located in 1977, when Carl Hewitt proposed the idea of an interactive object called actor. This actor was defined as a computational agent, which has a mail address and a behaviour (Hewitt, 1977). Actors receive messages from other actors and carry out their tasks in a concurrent way. It is difficult that a single agent could be sufficient to carry out a relatively complex task. The usual approach consists of a society of agents - called Multiagent Systems (MAS) -, which communicate and collaborate among them and they are coordinated when pursuing a goal. The purpose of this chapter is to analyze the aspects related to the application of MAS to System Engineering and Robotics, focusing on those approaches that combine MAS with other Artificial Intelligence (AI) techniques.

Intelligent MAS in System Engineering and Robotics

2011 ◽  
pp. 917-923
Author(s):  
G. Nicolás Marichal ◽  
Evelio J. González
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Multiagent Systems ◽  
Single Agent ◽  
System Engineering ◽  
Complex Task ◽  
User Training ◽  
Wide Range ◽  
Mail Address ◽  
And Robotics

The concept of agent has been successfully used in a wide range of applications such as Robotics, e-commerce, agent-assisted user training, military transport or health-care. The origin of this concept can be located in 1977, when Carl Hewitt proposed the idea of an interactive object called actor. This actor was defined as a computational agent, which has a mail address and a behaviour (Hewitt, 1977). Actors receive messages from other actors and carry out their tasks in a concurrent way. It is difficult that a single agent could be sufficient to carry out a relatively complex task. The usual approach consists of a society of agents - called Multiagent Systems (MAS) -, which communicate and collaborate among them and they are coordinated when pursuing a goal. The purpose of this chapter is to analyze the aspects related to the application of MAS to System Engineering and Robotics, focusing on those approaches that combine MAS with other Artificial Intelligence (AI) techniques.

Future of Us – Transforming Healthcare With Intelligent Machines (Vol. 25, No. 12, Full Issue)

2021 ◽  
Vol 25 (12) ◽  
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Chief Executive Officer ◽  
Chief Executive ◽  
Future Health ◽  
Innovative Technologies ◽  
Intelligent Machines ◽  
Unified View ◽  
And Robotics

For the month of December 2021, APBN looks the applications of artificial intelligence and robotics in the healthcare space. In Features, we hear from Christopher Khang, President and CEO of GE Healthcare ASEAN, on how innovative technologies such as AI and automation are shaping a bright future for radiologists and their patients. Then, we have David Irecki from Boomi, who proposes that a unified view of patient data can enable holistic, coordinated services that will improve people'soverall quality of life, and an article contribution by Lewis Ho, Chief Executive Officer at Avalon SteriTech on innovative healthcare solutions and the future of smart cleaning. Shifting away from intelligent machines, we speak to Dr. Goh Choo Beng, Head of Medical Affairs at Takeda APAC, on unmet disease areas and learn more about the different treatments and trials currently in the pipeline at Takeda, and finally, we wrap up the year 2021 with Lu-Ching Lau, Director for External Affairs, Policy and Communications, Singapore and Malaysia, MSD, as she shares with us how we may navigate through current and future health challenges.

scholarly journals The Decline of Architects: Can a Computer Design Fine Architecture without Human Input?

Buildings ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 338
Author(s):  
Joanna Kołata ◽  
Piotr Zierke
Keyword(s):  
Human Factor ◽  
Technological Development ◽  
Quantum Computers ◽  
Computer Algorithms ◽  
Computer Design ◽  
Wide Range ◽  
The Future ◽  
Technical Solutions ◽  
High Degree

Architects are required to have knowledge of current legislation, ergonomics, and the latest technical solutions. In addition, the design process necessitates an appreciation of the quality of the space and a high degree of creativity. However, it is a profession that has undergone significant changes in recent years due to the pressure exerted by the development of information technology. The designs generated by computer algorithms are becoming such a serious part of designers’ work that some are beginning to question whether they are more the work of computers than humans. There are also increasing suggestions that software development will eventually lead to a situation where humans in the profession will become redundant. This review article aims to present the currently used, implemented, and planned computer technologies employed in the design and consider how they affect and will affect the work of architects in the future. It includes opinions of a wide range of experts on the possibility of computer algorithms replacing architects. The ultimate goal of the article is an attempt to answer the question: will computers eliminate the human factor in the design of the future? It also considers the artificial intelligence or communication skills that computer algorithms would require to achieve this goal. The answers to these questions will contribute not only to determining the future of architecture but will also indicate the current condition of the profession. They will also help us to understand the technologies that are making computers capable of increasingly replacing human professions. Despite differing opinions on the possibility of computer algorithms replacing architects, the conclusions indicate that, currently, computers do not have capabilities and skills to achieve this goal. The speed of technological development, especially such technologies as artificial superintelligence, artificial brains, or quantum computers allows us to predict that the replacement of the architect by machines will be unrealistic in coming decades.

scholarly journals Radiologists in the loop: the roles of radiologists in the development of AI applications

2021 ◽  
Author(s):  
Damian Scheek ◽  
Mohammad. H. Rezazade Mehrizi ◽  
Erik Ranschaert
Keyword(s):  
Artificial Intelligence ◽  
Thematic Analysis ◽  
Development Process ◽  
Key Factors ◽  
Structured Interviews ◽  
Development Teams ◽  
Key Points ◽  
Wide Range ◽  
Quality Controller

Abstract Objectives To examine the various roles of radiologists in different steps of developing artificial intelligence (AI) applications. Materials and methods Through the case study of eight companies active in developing AI applications for radiology, in different regions (Europe, Asia, and North America), we conducted 17 semi-structured interviews and collected data from documents. Based on systematic thematic analysis, we identified various roles of radiologists. We describe how each role happens across the companies and what factors impact how and when these roles emerge. Results We identified 9 roles that radiologists play in different steps of developing AI applications: (1) problem finder (in 4 companies); (2) problem shaper (in 3 companies); (3) problem dominator (in 1 company); (4) data researcher (in 2 companies); (5) data labeler (in 3 companies); (6) data quality controller (in 2 companies); (7) algorithm shaper (in 3 companies); (8) algorithm tester (in 6 companies); and (9) AI researcher (in 1 company). Conclusions Radiologists can play a wide range of roles in the development of AI applications. How actively they are engaged and the way they are interacting with the development teams significantly vary across the cases. Radiologists need to become proactive in engaging in the development process and embrace new roles. Key Points • Radiologists can play a wide range of roles during the development of AI applications. • Both radiologists and developers need to be open to new roles and ways of interacting during the development process. • The availability of resources, time, expertise, and trust are key factors that impact how actively radiologists play roles in the development process.

scholarly journals Artificial Intelligence, Robotics, Ethics, and the Military: A Canadian Perspective

AI Magazine ◽  
2019 ◽  
Vol 40 (1) ◽  
pp. 37-48 ◽  
Author(s):  
Sherry Wasilow ◽  
Joelle B. Thorpe
Keyword(s):  
Artificial Intelligence ◽  
Ethical Issues ◽  
Armed Forces ◽  
Canadian Armed Forces ◽  
Wide Range ◽  
Ethics Assessment ◽  
Development Evaluation ◽  
Contextual Environment ◽  
The Military ◽  
And Robotics

Defense and security organizations depend upon science and technology to meet operational needs, predict and counter threats, and meet increasingly complex demands of modern warfare. Artificial intelligence and robotics could provide solutions to a wide range of military gaps and deficiencies. At the same time, the unique and rapidly evolving nature of AI and robotics challenges existing polices, regulations, and values, and introduces complex ethical issues that might impede their development, evaluation, and use by the Canadian Armed Forces (CAF). Early consideration of potential ethical issues raised by military use of emerging AI and robotics technologies in development is critical to their effective implementation. This article presents an ethics assessment framework for emerging AI and robotics technologies. It is designed to help technology developers, policymakers, decision makers, and other stakeholders identify and broadly consider potential ethical issues that might arise with the military use and integration of emerging AI and robotics technologies of interest. We also provide a contextual environment for our framework, as well as an example of how our framework can be applied to a specific technology. Finally, we briefly identify and address several pervasive issues that arose during our research.

Artificial intelligence in the modeling of chemical reactions kinetics

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Maciej Staszak
Keyword(s):  
Artificial Intelligence ◽  
Chemical Processes ◽  
Rate Equations ◽  
Network Systems ◽  
Current State ◽  
Wide Range ◽  
Kinetics Of ◽  
Fast Evolution ◽  
Selection Of

AbstractThe work presents a selection of recent papers in the field of modeling chemical kinetics by the use of artificial intelligence methods. Due to the fact that kinetics of the chemical reaction is the key element of industrial reactor design and analysis, the work is focused on the presentation of the quality of modeling, the assembly of neural network systems and methods of training required to achieve acceptable results. The work covers a wide range of classes of chemical processes and modeling approaches presented by several authors. Because of the fact that the methods of neural networks training require huge amounts of data, many approaches proposed are intrinsically based on classical kinetics modeling like Monte Carlo methods, quantum ab initio models or classical Arrhenius-like approaches using mass balance rate equations. The work does not fully exhaust the area of artificial intelligence because of its very broad scope and very fast evolution, which has been greatly accelerated recently. However, it is a contribution to describing the current state of science in this field.

scholarly journals Application of Artificial Intelligence (AI) in Prosthetic and Orthotic Rehabilitation

2020 ◽  
Author(s):  
Smita Nayak ◽  
Rajesh Kumar Das
Keyword(s):  
Artificial Intelligence ◽  
Human Interaction ◽  
Independent Mobility ◽  
Persons With Disabilities ◽  
Thought Control ◽  
Electronic Circuitry ◽  
Huge Impact ◽  
Technological Integration ◽  
And Robotics

Technological integration of Artificial Intelligence (AI) and machine learning in the Prosthetic and Orthotic industry and in the field of assistive technology has become boon for the Persons with Disabilities. The concept of neural network has been used by the leading manufacturers of rehabilitation aids for simulating various anatomical and biomechanical functions of the lost parts of the human body. The involvement of human interaction with various agents’ i.e. electronic circuitry, software, robotics, etc. has made a revolutionary impact in the rehabilitation field to develop devices like Bionic leg, mind or thought control prosthesis and exoskeletons. Application of Artificial Intelligence and robotics technology has a huge impact in achieving independent mobility and enhances the quality of life in Persons with Disabilities (PwDs).

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