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Secondary Research and Data Analysis
Assignment #2
SYED SAAD HUSAIN
Global Business Management, Conestoga College
BUS8375: Business Research and Data Analysis
Leanne Predote
September 30, 2023
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AI and Future of Work
Generating AI has a capability to transform our institutions/organizations, by automating
manual tasks and increasing the productivity of the workforce. It uses Deep Learning
and Neural Network concepts to examine massive amounts of data sets and produce
relevant results. A natural language processing model like Chat Generative Pre-trained
Transformer (ChatGPT), has a potential to transform how research is done in learning
institutes and research organizations.
Broad Research Topic:
AI in Biomedical: Generative AI is playing a significant role in advancing
transformation in the Biotechnology industry. The application of language-based AI tools
like ChatGPT has will help the researchers to discover means to accelerate the results
of their scientific studies. ChatGPT provides initial significant information in a drug target
discovery of a specific disease, which may be validated subsequently. Such AI-enabled
platform can be used for initial understanding to protein-based drug target discovery.
ChatGPT’s entrance into the research field will accelerate drug discovery research
development. Different pharmaceutical and biotechnology companies are already using
ChatGPT and LLMs in new therapeutic molecule discoveries, and this will finally benefit
patients soon. (Chakraborty, Bhattacharya, & Lee, 2023).
ChatGPT will soon be able to handle context lengths of hundreds of thousands or even
millions of tokens with efficient attention and recursive encoding methods. Large-scale
language models like ChatGPT may have the potential to aid in medical education and
possibly in the decision-making process in clinical settings (Wang, Feng, Ye, Zou, &
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Zheng, 2023). ChatGPT has tremendous potential to facilitate medical image analysis
and enhance the scientific literature of clinical medicine and the biological sciences.
(Handa, Chhabra, Goel, & Krishnan, 2023)
Brainstorming Map:
AI in
in Biomedical
skill development
AI
Industry
Benefits
Challenges
Promote Efficiency
Reliability of Datasets
Cost Effective
Biased Knowledge
Processing Speed
No Real-time Datasets
Collaborative Knowledge
Research Plagiarism
Quality of Data
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Research Questions:
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Will ChatGPT be bias-free when analyzing the large medical data sets?
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Is ChatGPT cost effective, trustworthy, and productive in Biomedical research?
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Will ChatGPT be able to provide up-to-date results from their data sets?
In-text Citations:
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(Chakraborty, Bhattacharya, & Lee, 2023) ChatGPT provides initial significant
information in a drug target discovery of a specific disease, which may be
validated subsequently. Such AI-enabled platform can be used for initial
understanding to protein-based drug target discovery. ChatGPT’s entrance into
the research field will accelerate drug discovery research development. Different
pharmaceutical and biotechnology companies are already using ChatGPT and
LLMs in new therapeutic molecule discoveries, and this will finally benefit
patients soon.
(Handa, Chhabra, Goel, & Krishnan, 2023) ChatGPT has tremendous potential to
facilitate medical image analysis and enhance the scientific literature of clinical
medicine and the biological sciences.
(Wang, Feng, Ye, Zou, & Zheng, 2023) ChatGPT will soon be able to handle
context lengths of hundreds of thousands or even millions of tokens with efficient
attention and recursive encoding methods. Large-scale language models like
ChatGPT may have the potential to aid in medical education and possibly in the
decision-making process in clinical settings.
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Bibliography:
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Chakraborty, C., Bhattacharya, M., & Lee, S-S. (2023). Artificial intelligence
enabled ChatGPT and large language models in drug target discovery, drug
discovery, and development. Molecular Therapy: Nucleic Acids Vol. 33, P866868.
Artificial intelligence enabled ChatGPT and large language models in drug target
discovery, drug discovery, and development: Molecular Therapy - Nucleic Acids
(cell.com)
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Handa, P., Chhabra, D., Goel, N., & Krishnan, S. (2023). Exploring the role of
ChatGPT in medical image analysis. Biomedical Signal Processing and Control
Volume 86, Part C.
Exploring the role of ChatGPT in medical image analysis - ScienceDirect
(oclc.org)
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Wang, D-Q, Feng, L-Y, Ye, J-G, Zou, J-G, & Zheng, Y-F. (2023). Accelerating
the integration of ChatGPT and other large-scale AI models into biomedical
research and healthcare. MedComm – Future Med.
Accelerating the integration of ChatGPT and other large‐scale AI models into
biomedical research and healthcare - Wang - 2023 - MedComm – Future
Medicine - Wiley Online Library