This review discussed the dilemma of small data faced by materials machine learning. First,
we analyzed the limitations brought by small data. Then, the workflow of materials machine …

Background: The progressive aging of populations, primarily in the industrialized western
world, is accompanied by the increased incidence of several non-transmittable diseases …

Personalised healthcare has seen significant improvements due to the introduction of health
monitoring technologies that allow wearable devices to unintrusively monitor physiological …

The increasing usage of smart wearable devices has made an impact not only on the
lifestyle of the users, but also on biological research and personalized healthcare services …

Recent spectacular progress in computational technologies has led to an unprecedented
boom in the field of Artificial Intelligence (AI). AI is now used in a plethora of research areas …

Background Artificial intelligence (AI) is influencing our society on many levels and has
broad implications for the future practice of hematology and oncology. However, for many …

Simple Summary The use of wearable devices in clinical care is gaining popularity among
cancer patients. The COVID-19 pandemic highlighted the value of wearable devices for …

In this research, for some different Schottky type structures with and without a
nanocomposite interfacial layer, the current–voltage (I–V) characteristics have been …

The use of machine learning in medical and assistive applications is receiving significant
attention thanks to the unique potential it offers to solve complex healthcare problems for …

The bold vision of AI-driven pervasive physiological monitoring, through the proliferation of
off-the-shelf wearables that began a decade ago, has created immense opportunities to …