You will use Machine Learning in the identification of therapeutic targets and drug design with this 100% online program"

Health Personalization through Machine Learning is an innovative approach, which has as its priority to adapt medical care and therapies to the individual needs of each subject. This personalization has the potential to significantly improve the quality of medical care and user outcomes. One example of this is monitoring technology (such as health tracking devices), which allows real-time inspection of people's conditions. In this way, AI alerts medical staff to worrisome changes or trends in the clinical condition of those affected.

In this context, TECH implements a Postgraduate certificate that will deal with the personalization of health through AI. To this end, the academic itinerary will deal exhaustively with the development of models to predict the efficacy and safety of drugs. It will also delve into the development of wearables for the continuous monitoring of health indicators. Graduates will be able to effectively evaluate the risks and benefits of different therapeutic options. At the same time, the didactic materials will analyze the latest trends in AI for the personalization of healthcare. In this way, graduates will be able to develop preventive health approaches and tailor plans to individual requirements.

On the other hand, TECH thinks about comfort and excellence, so this university program provides an exclusive update and the best academic quality. Therefore, it constitutes a degree of great flexibility by only needing a device with an Internet connection (such as a cell phone, computer or tablet) to easily access the virtual campus from the comfort of the place where you are. In addition, it is based on the revolutionary Relearning methodology, consisting of the reiteration of key aspects to guarantee a progressive and natural learning process.

Thanks to this Postgraduate certificate, you will be able to handle instruments to anticipate health risks and improve the quality of life of your patients”

This Postgraduate certificate in Personalized Healthcare through Artificial Intelligence contains the most complete and up-to-date program on the market. The most important features include:

• The development of practical cases presented by experts in Artificial Intelligence in 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 the self-assessment process can be carried out 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 develop surgical robots to perform precise and minimally invasive procedures"

The program’s teaching staff includes professionals from the industry who contribute their work experience to this 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.

You will master Artificial Intelligence tools to personalize therapies to reduce pain"

With the Relearning system you will integrate the concepts in a natural and progressive way. Forget about memorizing!"

This Postgraduate certificate will focus on how AI can be used to provide fully individualized medical care, thus adapting to patients' personal circumstances. The program will delve into assisted genomic analysis, using cognitive computing to interpret generic data. In addition, the agenda will address the role of Machine Learning in aspects such as drug development, integration of solutions in monitoring devices and creation of clinical decision support. In addition, the didactic content will explore the latest advances in surgical robotics and trends in the personalization of treatments.

In just 6 weeks, you will give your career the boost it needs and deliver medical care based on excellence"

Module 1. Health Personalization through AI

1.1. AI Applications in Genomics for Personalized Medicine

1.1.1. Development of AI Algorithms for the Analysis of Genetic Sequences and their Relationship to Diseases
1.1.2. Use of AI in the Identification of Genetic Markers for Personalized Treatments
1.1.3. Implementation of AI for the Rapid and Accurate Interpretation of Genomic Data
1.1.4. AI Tools in Correlating Genotypes with Drug Responses

1.2. AI in Pharmacogenomics and Drug Design

1.2.1. Development of AI Models for Predicting Drug Efficacy and Safety
1.2.2. Use of AI in the Identification of Therapeutic Targets and Drug Design
1.2.3. Application of AI in the Analysis of Gene-Drug Interactions for Personalization of Treatments
1.2.4. Implementation of AI Algorithms to Accelerate New Drug Discovery

1.3. Personalized Monitoring with Smart Devices and AI

1.3.1. Development of Wearables with AI for Continuous Monitoring of Health Indicators
1.3.2. Use of AI in the Interpretation of Data Collected by Smart Devices
1.3.3. Implementation of AI-based Early Warning Systems for Health Conditions
1.3.4. AI Tools for Personalization of Lifestyle and Health Recommendations

1.4. Clinical Decision Support Systems with AI

1.4.1. Implementation of AI to Assist Clinicians in Clinical Decision Support Systems
1.4.2. Development of AI Systems that Provide Clinical Data-Based Recommendations
1.4.3. Use of AI in Risk/Benefit Assessment of Different Therapeutic Options
1.4.4. AI tools for the Integration and Analysis of Real-Time Healthcare Data

1.5. Trends in Health Personalization with AI

1.5.1. Analysis of the Latest Trends in AI for Healthcare Personalization
1.5.2. Use of AI in the Development of Preventive and Predictive Approaches in Health Care
1.5.3. Implementation of AI in the Adaptation of Health Plans to Individual Needs
1.5.4. Exploration of New AI Technologies in the Field of Personalized Health Care

1.6. Advances in AI-assisted Surgical Robotics

1.6.1. Development of AI-assisted Surgical Robots for Precise and Minimally Invasive Procedures
1.6.2. Use of AI to Improve Accuracy and Safety in Robotic-Assisted Surgeries
1.6.3. Implementation of AI Systems for Surgical Planning and Operative Simulation
1.6.4. Advances in the Integration of Tactile and Visual Feedback in Surgical Robotics with AI

1.7. Development of Predictive Models for Personalized Clinical Practice

1.7.1. Use of AI to Create Predictive Models of Disease Based on Individual Data
1.7.2. Implementation of AI in the Prediction of Treatment Responses
1.7.3. Development of AI Tools for Health Risk Anticipation
1.7.4. Application of Predictive Models in the Planning of Preventive Interventions

1.8. AI in Pain Management and Personalized Pain Treatment

1.8.1. Development of AI Systems for Personalized Pain Assessment and Management
1.8.2. Use of AI in the Identification of Pain Patterns and Treatment Responses
1.8.3. Implementation of AI Tools in the Personalization of Pain Therapies
1.8.4. Application of AI in Monitoring and Adjustment of Pain Treatment Plans

1.9. Patient Autonomy and Active Participation in Customization

1.9.1. Promotion of Patient Autonomy through AI Tools for Health Management
1.9.2. Development of AI Systems that Empower Patients in Decision Making
1.9.3. Use of AI to Provide Personalized Information and Education to Patients
1.9.4. AI Tools that Facilitate Active Patient Involvement in Treatment

1.10. Integration of AI in Electronic Medical Records

1.10.1. Implementation of AI for the Efficient Analysis and Management of Electronic Medical Records
1.10.2. Development of AI Tools for Extraction of Clinical Insights  from Electronic Records
1.10.3. Use of AI to Improve the Accuracy and Accessibility of Medical Record Data
1.10.4. AI Application for Correlation of Medical Record Data with Treatment Plans

This program gives you the opportunity to update your knowledge in a real scenario, with the maximum scientific rigor of an institution at the forefront of technology"