Data Science in Pharmaceutical Industry

Pesqueira, António Miguel; Sousa, Maria José; Rocha, Álvaro; Sousa, Miguel

doi:10.1007/978-3-030-45688-7_15

Cited by 3 publications

(2 citation statements)

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“…While the industry still tries to understand the best investments in medical education and clinical training, there are growing investments in new skill development around Big Data, Data Science, AI, and Machine Learning [ 12 , 13 ]. Without exception, a growing need is emerging from healthcare professionals, especially MDs, to be better being prepared for new systems, challenges, and demands from different spectrums of healthcare organisations (HCOs) and all their related key stakeholders.…”

Section: Introduction and Conceptualisationmentioning

confidence: 99%

The Potential of Big Data Research in HealthCare for Medical Doctors’ Learning

et al. 2021

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Section: Introduction and Conceptualisationmentioning

confidence: 99%

The Potential of Big Data Research in HealthCare for Medical Doctors’ Learning

et al. 2021

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“…First of all, there is a call to give an overview of the concept and its possible applications to the new entrants into the AI field. Moreover, there is an increasing interest in AI by researchers from several disciplines and by companies, who are keener and keener on adopting AI-related solutions [4, 16,17], given the added value already proved by AI applications [5,9,[18][19][20].…”

Section: Introductionmentioning

confidence: 99%

The Potential of AI in Health Higher Education to Increase the Students’ Learning Outcomes

Sousa¹,

Mas²,

Pesqueira³

et al. 2021

TEM Journal

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The main goal of this article is to understand the potential learning applications based on AI technologies for health higher education students. We employed a Systematic Literature Review, contributing to explore to what extent AI technologies are currently influencing the Health learning processes in higher education and the skills developed during the learning path. The intent is to contribute to a more profound understanding of learning contexts, methodologies, technologies, and pedagogical processes with the application of AI technologies. The literature emphasizes that AI can be used to potentiate the learning process and the learning outcomes, especially in laboratory classes, and such contexts are still largely unstudied. To fulfil this gap, some practical applications based on AI technologies applied to health higher education studies were identified, highlighting AI's innovations and possible opportunities for health higher education.

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Pharmaceutical Data Optimization Problem Model Based on Neural Network Algorithm

Ge¹

2023

Lecture Notes on Data Engineering and Communications Technologies

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Data Science in Pharmaceutical Industry

Cited by 3 publications

References 5 publications

The Potential of Big Data Research in HealthCare for Medical Doctors’ Learning

The Potential of Big Data Research in HealthCare for Medical Doctors’ Learning

The Potential of AI in Health Higher Education to Increase the Students’ Learning Outcomes

Pharmaceutical Data Optimization Problem Model Based on Neural Network Algorithm

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