Innovating Health Against Future Pandemics.

Format:

Book

Author/Creator:

Mellino, Simona.

Contributor:

Santus, Enrico.

Santuccione Chadha, Antonella.

Motti, Dario.

Language:

English

Subjects (All):

Precision medicine.

Pandemics.

Physical Description:

1 online resource (202 pages)

Edition:

1st ed.

Place of Publication:

San Diego : Elsevier Science & Technology, 2024.

Summary:

The book 'Innovating Health Against Future Pandemics' is part of the Women's Brain Project (WBP) series, focusing on the intersection of sex, gender, and brain health. It explores the impact of these factors on drug development and precision medicine, aiming for sustainable healthcare. The book advocates for the establishment of a global Sex and Gender Precision Medicine Research Institute in Switzerland. It addresses challenges in technology, data, and epidemiology, and discusses innovative approaches in clinical trials, artificial intelligence, and digital health solutions. The book is intended for healthcare professionals, researchers, and policymakers interested in the integration of gender perspectives in medical research and the development of inclusive healthcare strategies. Generated by AI.

Contents:

Front Cover

Innovating Health Against Future Pandemics

About the WBP book series

Copyright

Dedication

Contents

Contributors

Editor's biographies

Foreword

Acknowledgments

Introduction

1. Introduction: Healthcare Innovation to prevent and manage future outbreaks effectively

2. The Women's Brain Project contribution: From neurology to healthcare innovation

3. Organization and scope of this book

REFERENCES

1 - Epidemiology, data, and technology

1 - Advancing epidemiological understanding: Navigating challenges and embracing innovations in the age of technolo ...

1. Introduction: Epidemiology, data, and technology

2. Data and technology

3. Pitfalls (challenges and biases)

4. A future model

4.1 Early detection and surveillance

4.2 Genomic sequencing and pathogen tracking

4.3 Predictive modeling

4.4 Global data sharing and collaboration

5. Conclusion

References

2 - Treatment/pharmaceutical R&amp

D

2 - The use of computational biology in protein engineering and drug discovery

1. Introduction

2. Methodology of the search

2.1 Overview of the databases used

2.2 Criteria for the data collection and selection

2.3 Extraction of data and final list of selected documents

3. Target identification for drug discovery

4. Protein engineering through algorithms

5. De novo drug design toward personalized medicine

5.1 De novo drug design: An overview

5.2 Methods of de novo drug design

5.3 Drug design through multiscale de novo method

6. Ligand-based modeling

7. Molecular docking

8. QSAR modeling

9. Clinical translation

10. Conclusion

Further reading.

3 - Innovative clinical trial design and operation-Implementing hybrid and fully decentralized clinical trials in a .

2. Adoption and reach

3. Decentralized trial planning and preparation

3.1 Study staff

3.2 Trial solutioning

3.3 Trial preparation and planning

3.4 Trial enrollment

3.5 Telemedicine in trial conduct

4. Hybrid trials

5. Fully decentralized clinical trials

6. Trial enablement

6.1 Platforms

6.2 Connected sensor technologies

6.3 Key considerations

6.4 Challenges

6.5 Opportunities

7. Conclusion and recommendations

7.1 Recommended resources

3 - Triage, diagnosis, risk prediction

4 - A perspective on Artificial Intelligence for digital pharmacovigilance in pandemics

2. Traditional pharmacovigilance

3. Artificial Intelligence for traditional pharmacovigilance

4. Social media listening for digital pharmacovigilance

5. A case study: An NLP system for ADE detection on social media

6. Conclusions

Acknowledgement

5 - Consequences of the isolation in vulnerable populations: Brain and mental health in the older population

2. The effects of social isolation on mental and brain health among the older population

2.1 Impact of social isolation on mental health and mediating factors

2.2 Impact of social isolation on brain health and mediating factors

3. The effects of social isolation on mental and brain health among vulnerable sub-populations

3.1 Women: Social isolation, loneliness, and health outcomes

3.2 Caregivers: Caregiver burden, loneliness, and mental health

3.3 Older adults at risk of developing Alzheimer's disease: Mental health and pathological changes

3.4 Individuals living with dementia: Social isolation and neuropsychiatric symptoms.

4. Measures and interventions for social isolation and loneliness and actionable recommendations for the future

4.1 Actionable recommendations to identify the most effective strategies during lockdowns

Acknowledgment

Further reading

6 - Design for isolation, confinement, and mental health during intensive care

1. Observations about intensive care units during COVID-19

2. Design for isolation and confinement

3. Lessons learned from astronauts training facilities

4. Technological and architectural solutions for ICU

5. Conclusions

7 - Triage, diagnosis and risk prediction: The benefits and challenges of digital health and AI technologies

2. From prevention and early diagnose to remote monitoring

3. Challenges for development and scale up

4. Outlook and recommendations

4 - Management and policies

8 - How digital solutions can ensure continued high-quality care for patients during pandemics

2. Key challenges faced by patients with chronic and serious diseases during a pandemic

3. How digital health solutions can help ensure continuous, quality care for those with chronic and serious health conditions

3.1 Real-world example: Patient apps

3.2 Real-world example: Connected devices

3.3 Other applications

4. How digital solutions can contribute to population health management during a pandemic?

4.1 Personalized risk calculation

4.2 Remote testing and self-reporting

4.3 Personalized treatment selection

4.4 Speed in testing

4.5 Vaccine rollout and tracking

4.6 Educational tools to combat misinformation

4.7 Global data collaboration

5. Outlook and recommendations

5.1 Recommendations

5.1.1 Invest in infrastructure

5.1.2 Focus on patient-centric solutions.

5.1.3 Develop on a platform for adaptability, interoperability, and scalability

5.1.4 Governments should encourage digital innovation

9 - Beyond one-size-fits-all: Precision medicine and novel technologies for sex- and gender-inclusive COVID-19 pand ...

2. The role of new technologies in sex- and gender-sensitive precision medicine

2.1 Sex- and gender-sensitive precision medicine-Why we need it?

2.2 Novel technologies and precision medicine

2.3 Machine learning and deep learning

2.4 Convolutional neural networks

2.5 AI-driven solutions for clinical trials

2.6 Natural language processing

2.7 Social and medical robots

3. Pandemic management and novel technologies: A sex and gender approach

3.1 COVID risks

3.2 Outcomes

3.3 Sex and gender approaches impact pandemic preparedness

3.3.1 Role of sex

3.3.2 Role of gender

3.3.3 Pandemic preparedness

3.4 Sex and gender approaches impact data biases and socio-technical systems

4. What have we learned from COVID-19? Call for action

Sources of further information

10 - Future outlook

1. A launchpad for healthcare innovations in uncharted waters

2. The next big one

3. Gearing up for the future

Index

Back Cover.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

Other Format:

Print version: Mellino, Simona Innovating Health Against Future Pandemics

ISBN:

9780443136825

OCLC:

1432605651