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BEGIN:VEVENT
DTSTAMP:20260427T184104Z
DTSTART;VALUE=DATE-TIME:20230221T170000
DTEND;VALUE=DATE-TIME:20230221T180000
SUMMARY:YRM W7 - Kristian Romano on HMM to model the Circadian Timing Sys
 tem in patients with advanced pancreatic cancer
TZID:Europe/London
UID:20230221-8a1785d8857d1aeb018582955bfa0809@warwick.ac.uk
CREATED:20230214T083955Z
DESCRIPTION:Title: MultiDom: Remote Monitoring of Patient With Advanced P
 ancreatic Cancer Abstract: Wearable devices allow for non-invasive telem
 onitoring of patients. Physiological data\, such as physical activity (P
 A) and body temperature\, can be collected in the daily living environme
 nt of the patient without the need for hospitalization. The devices can 
 be used to monitor the Circadian Timing System (CTS)\, which regulates m
 any critical cellular processes\, such as the cell cycle and metabolism\
 , and to detect adverse events which pose a risk to health. The appraisa
 l of the CTS in real time could lead to chronopharmacological strategies
  and personalized medicine. The MultiDom clinical trial ( NCT04263948) t
 elemonitors Pancreatic cancer patients undergoing chemotherapy aiming to
  reduce the rate of patients undergoing toxicity-related emergency hospi
 talisations. MultiDom telemonitors continuously for PA\, temperature and
  3D-orientation via a sensor worn on the chest. Data are automatically t
 ransmitted and alerts are generated according to automatically computed 
 critical parameters to trigger proactive interventions from Medical Expe
 rts. We developed a Hidden Markov Model (HMM) to suit the specific data 
 collected by MultiDom and the relative Bayesian Inference. Thanks to our
  Bayesian approach we are also capable to provide Medical Experts with c
 redibility intervals for the circadian parameters.
LOCATION:
CATEGORIES:
LAST-MODIFIED:20230214T083955Z
ORGANIZER;CN=Claudia Viaro:
END:VEVENT
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