The incorporation of ethical considerations in your daily practice will drive more ethical and responsible medical advances" 

Artificial Intelligence is a key element in driving sustainability in biomedical research. Its tools reduce the need to use large amounts of physical resources (such as laboratory materials and reagents) by optimizing sample selection. Therefore, this contributes to the conservation of the environment by reducing waste and the consumption of natural elements. In this sense, Artificial Intelligence facilitates procedures based on remote medical care, which reduces the need to travel and, therefore, contributes to the reduction of carbon emissions related to transportation.

In this context, TECH is developing a Postgraduate certificate that will delve into the challenges of sustainability in biomedical research. The curriculum will delve into environmental impact assessment and resources related to the application of

Artificial Intelligence in these analyses. In addition, the syllabus will offer numerous proposals for sustainable practices in the integration of Machine Learning technologies in healthcare research projects. Throughout the program, the didactic contents will promote among the experts an ethical awareness to manage the materials and demonstrate their social responsibility.

It should be noted that the methodology of this university reinforces its innovative character. TECH offers a 100% online learning environment, adapted to the needs of busy professionals seeking to advance their careers. In addition, it will employ the  Relearning methodology, based on the repetition of key concepts to fix knowledge and facilitate learning. In this way, the combination of flexibility and a robust pedagogical approach makes it highly accessible. The only requirement is that professionals have a device with Internet access, including their own cell phone. In this way, they will be able to enter the Virtual Campus to enjoy an educational experience that will raise their work horizons to a higher level.

You will delve into the management of informed consent and responsibility in research, in the context of advanced technologies in the biomedical field.”

This Postgraduate certificate in Ethical Aspects of Artificial Intelligence in Clinical Research contains the most complete and up-to-date educational program on the market. Its most notable features are:

• Development of practical cases presented by experts in ethical aspects of AI Technologies Clinical Practice
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice.
• Practical exercises where self-assessment can be used to improve learning.
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

You will be able to merge technological innovation with an unwavering commitment to ethics and integrity in medical settings."

The program’s teaching staff includes professionals from the field who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.

Thanks to this Postgraduate certificate, you will ethically address current challenges and anticipate the evolving landscape of Clinical Research"

A curriculum tailored to your needs and designed under the most effective teaching methodology: Relearning"

This university program brings together the conceptual depth with the practical applicability of Artificial Intelligence in Clinical Research. The academic itinerary will analyze in detail the main ethical dilemmas to which professionals are subjected during the exercise of their profession. Likewise, the syllabus will delve from the moral foundations to the legal implications, allowing graduates to become aware of the consequences of their actions. The program will also include the study of real-life case studies, so that experts will learn valuable lessons in simulated learning environments.

You will be equipped with the most advanced tools to overcome emerging ethical and legal dilemmas in the use of Machine Learning in clinical settings."

Module 1. Ethical, Legal and Future Aspects of AI in Clinical Research

1.1. Ethics in the Application of AI in Clinical Research

1.1.1. Ethical Analysis of AI-assisted Decision Making in Clinical Research Settings
1.1.2. Ethics in the Use of AI Algorithms for Participant Selection in Clinical Studies
1.1.3. Ethical Considerations in the Interpretation of Results Generated by AI Systems in Clinical Research

1.2. Legal and Regulatory Considerations in Biomedical AI

1.2.1. Analysis of Legal Regulations in the Development and Application of AI Technologies in the Biomedical Field
1.2.2. Assessment of Compliance with Specific Regulations to Ensure the Safety and Efficacy of AI-based Solutions
1.2.3. Addressing Emerging Regulatory Challenges Associated with the Use of AI in Biomedical Research

1.3. Informed Consent and Ethical Aspects in the Use of Clinical Data.

1.3.1. Developing Strategies to Ensure Effective Informed Consent in Projects Involving AI
1.3.2. Ethics in the Collection and Use of Sensitive Clinical Data in the Context of AI-driven Research
1.3.3. Addressing Ethical Issues Related to Ownership of and Access to Clinical Data in Research Projects

1.4. AI and Accountability in Clinical Research

1.4.1. Assessing Ethical and Legal Liability in the Implementation of AI Systems in Clinical Research Protocols
1.4.2. Development of Strategies to Address Potential Adverse Consequences of AI Implementation in Biomedical Research
1.4.3. Ethical Considerations in the Active Involvement of AI in Clinical Research Decision Making

1.5. Impact of AI on Equity and Access to Health Care

1.5.1. Evaluation of the Impact of AI Solutions on Equity in Clinical Trial Participation
1.5.2. Developing Strategies to Improve Access to AI Technologies in Diverse Clinical Settings
1.5.3. Ethics in the Distribution of Benefits and Risks Associated with the Application of AI in Health Care

1.6. Privacy and Data Protection in Research Projects

1.6.1. Assurance of Privacy of Participants in Research Projects Involving the Use of AI
1.6.2. Development of Policies and Practices for Data Protection in Biomedical Research
1.6.3. Addressing Specific Privacy and Security Challenges in the Handling of Sensitive Data in the Clinical Environment

1.7. AI and Sustainability in Biomedical Research

1.7.1. Assessing the Environmental Impact and Resources Associated with the Implementation of AI in Biomedical Research
1.7.2. Development of Sustainable Practices in the Integration of AI Technologies in Clinical Research Projects
1.7.3. Ethics in Resource Management and Sustainability in the Adoption of AI in Biomedical Research

1.8. Auditing and Explainability of AI Models in the Clinical Setting

1.8.1. Development of Audit Protocols for Assessing the Reliability and Accuracy of AI Models in Clinical Research
1.8.2. Ethics in the Explainability of Algorithms to Ensure Understanding of Decisions Made by AI Systems in Clinical Contexts
1.8.3. Addressing Ethical Challenges in Interpreting Results of AI Models in Biomedical Research

1.9. Innovation and Entrepreneurship in the field of Clinical AI

1.9.1. Ethics in Responsible Innovation When Developing AI Solutions for Clinical Applications
1.9.2. Development of Ethical Business Strategies in the Field of Clinical AI
1.9.3. Ethical Considerations in the Commercialization and Adoption of AI Solutions in the Clinical Sector

1.10. Ethical Considerations in International Clinical Research Collaboration

1.10.1. Development of Ethical and Legal Agreements for International Collaboration in AI-driven Research Projects
1.10.2. Ethics in Multi-Institution and Multi-Country Involvement in Clinical Research with AI Technologies
1.10.3. Addressing Emerging Ethical Challenges Associated with Global Biomedical Research Collaborations

Enjoy the most up-to-date educational content available in innovative multimedia formats to optimize your studies"