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SUMMARY:Digital Chronotherapy – Embedding Clocks into Bioelectronic Medi
 cines - Professor Timothy Denison
DTSTART;VALUE=DATE-TIME:20211014T170000
DTEND;VALUE=DATE-TIME:20211014T183000
UID:https://talks.ox.ac.uk/talks/id/8d148b08-03c5-40a7-beda-c3b9d95ec851/
DESCRIPTION:In the last several decades\, implantable bioelectronic system
 s that stimulate the nervous system were shown to be an effective adjunct 
 therapy for neurological disorders such as Parkinson’s disease and epile
 psy. The majority of these devices run a fixed stimulation regardless of t
 he time of day. Yet\, biological rhythms permeate living organisms at a va
 riety of timescales. These rhythms are fundamental to physiological proces
 ses\, and their disruption is thought to play a key role in the initiation
 \, progression\, and expression of disease. To date\, the limited diagnost
 ic sensing capabilities of device-based therapies arguably hid the biologi
 cal rhythm’s influence on therapy efficacy\, and likewise the therapy in
 tervention’s influence on rhythms. With the advent of new bioelectronic 
 devices capable of long-term data recording and adaptive algorithms\, clin
 ical neuroscientists are gaining unprecedented insight into long-term\, lo
 ngitudinal physiology processes\, and how therapeutic interventions might 
 impact related rhythms.\nWe propose that future bioelectronic devices shou
 ld integrate chronobiology into their design to maximize the potential ben
 efits of therapy. This “digital chronotherapy” is motivated by prelimi
 nary data recorded in subjects with sensing-enabled devices\, which demons
 trates how symptoms can follow temporal rhythms. In addition\, tonic stimu
 lation can cause fragmentation of sleep-wake rhythms in some patients. Bas
 ed on these observations\, we suggest an algorithmic structure for bioelec
 tronic medicine which incorporates anticipatory\, time-based adaptation of
  stimulation control as an adjunct to classical feedforward and feedback c
 ontrol methods. Illustrative use cases from investigational studies will h
 elp reinforce these concepts. An algorithmic approach that more closely mi
 mics physiological processes could prove useful for more personalized ther
 apies.\nSpeakers:\nProfessor Timothy Denison
LOCATION:Venue to be announced
TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/8d148b08-03c5-40a7-beda-c3b9d95ec851/
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DESCRIPTION:Talk:Digital Chronotherapy – Embedding Clocks into Bioelectr
 onic Medicines - Professor Timothy Denison
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