Real-Time Detection and Management of Chronic Illnesses (Ongoing)

Posted On 2019-06-23 12:40:46

This focused on “Real-Time Detection and Management of Chronic Illnesses” is edited by Dr. Mei R. Fu, from NYU Rory Meyers College of Nursing, New York University, New York, NY, USA.

Dr. Fu is an internationally and nationally well-known nurse scientist and outstanding researcher and educator. She is a Tenured Associate Professor of Nursing at NYU Rory Meyers College of Nursing, New York University. Dr. Fu is also a Fellow of American Academy of Nursing, the highest professional honor recognizing outstanding contributions, achievements, and leadership in the nursing field; a Fellow of Geriatrics at the Hartford Institute of Geriatrics, the highest honor for Dr. Fu’s expert knowledge contributed to the field of geriatrics; and a Fellow of New York Academy of Medicine, recognition of the highest levels of achievement and leadership in the fields of urban health, science, social work, nursing, education, law, medicine and research.

Focused issue outline:

  1. Pain Management in Real Time
  2. Real-time Monitor for Medication Adherence
  3. Real-time assessment of symptoms for head and neck cancer
  4. Use of mHealth technology for supporting symptom management in underserved persons living with HIV
  5. Technological innovations for sleep
  6. Facilitating early diagnosis of lymphedema among breast cancer patients
  7. Real-time assessment of symptoms for Spanish breast cancer survivors
  8. Real-time detection of atrial fibrillation, atrial flutter and atrial tachycardia from surface ECG
  9. Wireless Smart Sensor Technology for Health
  10. New technologies for chronic disease management and control
  11. The role of technology for Chronic illnesses
  12. Real-time Management of symptoms following breast cancer
  13. Real-Time Simulation Training for Chronic Illness Management
  14. Wearable sensors and data analytic methodologies for muscular skeleton disorders
  15. Technology for HIV
  16. Real-time Monitoring for Dressing among cognitive impared older adults
  17. The future of technological advances in real-time detection and management of Chronic Illnesses