Can mobile health training meet the challenge of ‘measuring better’?

Can mobile health training meet the challenge of ‘measuring better’?

Mobile learning has seen a large uptake in use in lowand middleincome countries. This is driven by rhetorics of easy scaling, reaching the hard-to-reach and the potential for generating analytics from the applications used by learners. Healthcare training has seen a proliferation of apps aimed at improving accountability through tracking and measuring workplace learning. A view of the mobile ph...

Can Defect-Tolerant Chips Better Meet the Quality Challenge?

Can Affective Computing Save Lives? Meet Mobile Health

More than a decade ago, my Imperial College colleague Robert Istepanian coined the term mHealth to represent mobile health sensing and advice. The decade before that, Rosalind Picard’s seminal book gave birth to affective computing. Both fields have since skyrocketed. Today, affective computing can enhance mHealth by, for example, encouraging mHealth technology adherence through emotionally int...

Mechanical thrombectomy services: can the UK meet the challenge?

A difficult case 289 Hypoactive–hypoalert behaviour and thalamic hypometabolism due to intracranial hypotension S Kearney, P Flynn, S Hughes, W Spence, M O McCarron 293 Chorioretinitis: a potential clue to the early diagnosis of subacute sclerosing panencephalitis V Jeevagan, A Dissanayake 297 Acute segmental poliomyelitis-like flaccid paralysis in an adult in the UK, associated with enteroviru...

Can Artificial Intelligence meet the Cognitive Networking Challenge ?

Recent developments in Software Defined Radio technology have created the opportunity to develop networks that are, in principle, highly adaptable and effective under a much wider range of operating conditions than currently possible, but few researchers are able to fully exploit this new flexibility. Cognitive radio networks require multiple interacting capabilities for situation assessment, p...