rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Innovating health against future pandemic
  name:
    name part: Mellino, Simona.
  name:
    name part: Motti, Dario.
  name:
    name part: Santus, Enrico.
  name:
    name part: Chadha, Antonella Santuccione.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    place:
      place term: London
    publisher: Academic Press
    date issued: 2024
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: 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.
  table of contents: Front Cover -- Innovating Health Against Future Pandemics -- About the WBP book series -- Innovating Health Against Future Pandemics -- 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 -- Acknowledgments -- 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 -- References -- Further reading.
  table of contents: 3 -- Innovative clinical trial design and operation-Implementing hybrid and fully decentralized clinical trials in a . -- 1. Introduction -- 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 -- Acknowledgments -- References -- 3 -- Triage, diagnosis, risk prediction -- 4 -- A perspective on Artificial Intelligence for digital pharmacovigilance in pandemics -- 1. Introduction -- 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 -- References -- 5 -- Consequences of the isolation in vulnerable populations: Brain and mental health in the older population -- 1. Introduction -- 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.
  table of contents: 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 -- 5. Conclusion -- Acknowledgment -- References -- 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 -- References -- 7 -- Triage, diagnosis and risk prediction: The benefits and challenges of digital health and AI technologies -- 1. Introduction -- 2. From prevention and early diagnose to remote monitoring -- 3. Challenges for development and scale up -- 4. Outlook and recommendations -- Acknowledgments -- References -- 4 -- Management and policies -- 8 -- How digital solutions can ensure continued high-quality care for patients during pandemics -- 1. Introduction -- 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.
  table of contents: 5.1.3 Develop on a platform for adaptability, interoperability, and scalability -- 5.1.4 Governments should encourage digital innovation -- References -- Further reading -- 9 -- Beyond one-size-fits-all: Precision medicine and novel technologies for sex- and gender-inclusive COVID-19 pand ... -- 1. Introduction -- 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 -- Acknowledgments -- References -- 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 -- References -- Index -- Back Cover.
  note: edited by Simona Mellino, Dario Motti, Enrico Santus, Antonella Santuccione Chadha.
  subject:
    topic: Medical innovations
  subject:
    topic: Biomedical engineering
  subject:
    topic: Pandemics
  subject:
    topic: Pandemics
  subject:
    topic: Médecine
    topic: Innovations
  subject:
    topic: Génie biomédical
  subject:
    topic: Pandémies
  subject:
    topic: biomedical engineering
  subject:
    topic: pandemics
  classification: RA418.5.M4
  classification: 610.28
  related item:
    title info:
      title: Innovating health against future pandemic
    origin info:
      publisher: London : Academic Press, 2024
    identifier: (OCoLC)1419057819
  identifier: 9780443136825
  identifier: 0443136823
  identifier: 9780443136818
  identifier: 0443136815
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 240506
    record change date: 20260327175733.9
    record identifier: in00005773163
    language of cataloging:
      language term: eng