Applications of machine learning to diagnosis and treatment of neurodegenerative diseases

MA Myszczynska, PN Ojamies, AMB Lacoste… - Nature reviews …, 2020 - nature.com
Globally, there is a huge unmet need for effective treatments for neurodegenerative
diseases. The complexity of the molecular mechanisms underlying neuronal degeneration …

Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine

Z Ahmed, K Mohamed, S Zeeshan, XQ Dong - Database, 2020 - academic.oup.com
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …

RETRACTED ARTICLE: Integration of Healthcare 4.0 and blockchain into secure cloud-based electronic health records systems

HB Mahajan, AS Rashid, AA Junnarkar, N Uke… - Applied …, 2023 - Springer
Since the last decade, cloud-based electronic health records (EHRs) have gained significant
attention to enable remote patient monitoring. The recent development of Healthcare 4.0 …

Artificial intelligence in anesthesiology: current techniques, clinical applications, and limitations

DA Hashimoto, E Witkowski, L Gao, O Meireles… - …, 2020 - pubs.asahq.org
Artificial intelligence has been advancing in fields including anesthesiology. This scoping
review of the intersection of artificial intelligence and anesthesia research identified and …

Big data and machine learning in health care

AL Beam, IS Kohane - Jama, 2018 - jamanetwork.com
Nearly all aspectsof modern life are in some way being changed by big data and machine
learning. Netflix knows what movies people like to watch and Google knows what people …

Artificial intelligence in surgery: promises and perils

DA Hashimoto, G Rosman, D Rus… - Annals of surgery, 2018 - journals.lww.com
Objective: The aim of this review was to summarize major topics in artificial intelligence (AI),
including their applications and limitations in surgery. This paper reviews the key …

Axes of a revolution: challenges and promises of big data in healthcare

S Shilo, H Rossman, E Segal - Nature medicine, 2020 - nature.com
Health data are increasingly being generated at a massive scale, at various levels of
phenotyping and from different types of resources. Concurrent with recent technological …

MeDShare: Trust-less medical data sharing among cloud service providers via blockchain

QI Xia, EB Sifah, KO Asamoah, J Gao, X Du… - IEEE …, 2017 - ieeexplore.ieee.org
The dissemination of patients' medical records results in diverse risks to patients' privacy as
malicious activities on these records cause severe damage to the reputation, finances, and …

[图书][B] Digital health: critical and cross-disciplinary perspectives

D Lupton - 2017 - taylorfrancis.com
The rise of digital health technologies is, for some, a panacea to many of the medical and
public health challenges we face today. This is the first book to articulate a critical response …

Pharmacogenomics in the clinic

MV Relling, WE Evans - Nature, 2015 - nature.com
After decades of discovery, inherited variations have been identified in approximately 20
genes that affect about 80 medications and are actionable in the clinic. And some …