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The application of Artificial Intelligence and Machine Learning to the Pharmaceutical Industry
Published:
29 December 2022
by MDPI
in MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
congress TECHLAW.SCI-06: Technol., & Law Sci. Congresses, Bayonne, France-Miami, USA, 2022.
Abstract:
The pharmaceutical industry is experiencing significant changes and is adopting new technologies at a faster rate than before. The application of 4.0 technologies increases the productivity and effectiveness of automated pharmacy processes, therefore, these technologies are driving the industry's growth. These include artificial intelligence (AI), Machine learning (ML), Internet of Thing (IoT), Big data, and other Industry 4.0 technologies. This review will discuss the use of AI and ML in the pharmaceutical industry. Moreover, some pharmaceutical startups that implemented these technologies will be presented.
Keywords: Artificial Intelligence, Machine Learning, pharmaceutical industry, 4.0 technologies, drug development, startups, Artificial Neural Network
Comments on this paper
estefania Ascencio
5 January 2023
Dear authors thank you for your support to the conference.
Now we closed the publication phase and launched the post-publication phase of the conference.
REVIEWWWERS'08 Brainstorming Workshop is Now Open from 2023-Jan-01 to 2023-Jan-31.
MOL2NET Committee, Authors, and Validated Social Media Followers Worldwide
Invited to Post Moderated Questions/Answers, Comments, about papers.
These are my Questions (Q) to you, please kindly post your public Answers (A) below
to promote scientific discussion and training of conference readers :
Q1. What strategies do you think are necessary to complement in order to obtain more benefits when using artificial intelligence as a tool?
Q2. Please, could you send me more information about this paper.
Thank you for your kind support. Please make questions to other papers in different Mol2Net congresses
Commenting Steps: Login, Go to Papers List, Select Paper, Write Comment, Click Post Comment
Papers list: https://mol2net-08.sciforum.net/presentations/view
Workshop link: https://mol2net-08.sciforum.net/#reviewwwers
Now we closed the publication phase and launched the post-publication phase of the conference.
REVIEWWWERS'08 Brainstorming Workshop is Now Open from 2023-Jan-01 to 2023-Jan-31.
MOL2NET Committee, Authors, and Validated Social Media Followers Worldwide
Invited to Post Moderated Questions/Answers, Comments, about papers.
These are my Questions (Q) to you, please kindly post your public Answers (A) below
to promote scientific discussion and training of conference readers :
Q1. What strategies do you think are necessary to complement in order to obtain more benefits when using artificial intelligence as a tool?
Q2. Please, could you send me more information about this paper.
Thank you for your kind support. Please make questions to other papers in different Mol2Net congresses
Commenting Steps: Login, Go to Papers List, Select Paper, Write Comment, Click Post Comment
Papers list: https://mol2net-08.sciforum.net/presentations/view
Workshop link: https://mol2net-08.sciforum.net/#reviewwwers
Andrea Ruiz-Escudero
5 January 2023
Dear Estefania Ascencio,
Thank you for your attention to my work and for providing your valuable feedback.
In response to your first question, I believe there are several approaches that can assist organizations in maximizing the benefits of their AI initiatives:
1. Identify and set clear goals for using AI
2. Select AI tools that align with the organization's needs
3. Ensure that high-quality data is available for use
4. Assemble a diverse team with a range of skills
5. Utilize testing and iteration to consistently enhance artificial intelligence projects
In response to your second question, there are numerous informative websites available that provide information on emerging start-up industries. Of the ones that I have visited, I have found the following two websites to contain particularly interesting information:
1. Focused on AI, ML and DL: https://www.marktechpost.com/
2. With a diverse range of sectors: https://www.startus-insights.com/innovators-guide/
On the second website, you have the option to choose the sector or technology that interests you. In addition to information on start-ups in the selected area, there is also information available on current trends within that sector.
Kind regards,
Andrea Ruiz Escudero
Thank you for your attention to my work and for providing your valuable feedback.
In response to your first question, I believe there are several approaches that can assist organizations in maximizing the benefits of their AI initiatives:
1. Identify and set clear goals for using AI
2. Select AI tools that align with the organization's needs
3. Ensure that high-quality data is available for use
4. Assemble a diverse team with a range of skills
5. Utilize testing and iteration to consistently enhance artificial intelligence projects
In response to your second question, there are numerous informative websites available that provide information on emerging start-up industries. Of the ones that I have visited, I have found the following two websites to contain particularly interesting information:
1. Focused on AI, ML and DL: https://www.marktechpost.com/
2. With a diverse range of sectors: https://www.startus-insights.com/innovators-guide/
On the second website, you have the option to choose the sector or technology that interests you. In addition to information on start-ups in the selected area, there is also information available on current trends within that sector.
Kind regards,
Andrea Ruiz Escudero
Priya Patel
13 January 2023
what are the future scope of AI and ML in Product formulations?
Andrea Ruiz-Escudero
15 January 2023
Dear Priya Patel,
Thank you for taking the time to review my work and offering your valuable comment.
In response to your question, the future scope of AI and ML in product formulation is a field with significant potential for growth and expansion. The possible applications in this area are the improvement of quality control measures, optimization of formulations, forecast product properties, automation of formulation processes, and the development of personalized products. In addition, time saving, increased efficency, enhanced product quality and reduced costs.
Best regards,
Andrea Ruiz Escudero
Thank you for taking the time to review my work and offering your valuable comment.
In response to your question, the future scope of AI and ML in product formulation is a field with significant potential for growth and expansion. The possible applications in this area are the improvement of quality control measures, optimization of formulations, forecast product properties, automation of formulation processes, and the development of personalized products. In addition, time saving, increased efficency, enhanced product quality and reduced costs.
Best regards,
Andrea Ruiz Escudero
