Mał­gorza­ta Sochacka

Title

Arti­fi­cial intel­li­gence in con­tin­u­ous and objec­tive mon­i­tor­ing of affec­tive disorders

Abstract

Affec­tive dis­or­ders, includ­ing bipo­lar dis­or­der and depres­sion, are the lead­ing caus­es of work absence and sui­cide world­wide. Patients expe­ri­enc­ing acute episodes require close sur­veil­lance or hos­pi­tal­iza­tion, while sta­ble patients need con­tin­u­ous mon­i­tor­ing to pre­vent relaps­es. Cur­rent­ly, patient mon­i­tor­ing relies on sub­jec­tive assess­ments of behav­iour­al mark­ers such as phys­i­cal activ­i­ty, social inter­ac­tions, sleep pat­terns, spend­ing habits, and speech char­ac­ter­is­tics. How­ev­er, key chal­lenges include main­tain­ing objec­tiv­i­ty and man­ag­ing the costs and effort required for sus­tained monitoring. 

Since the ear­ly 21^st cen­tu­ry, research has explored the use of mod­ern tech­nol­o­gy to sup­port objec­tive and con­tin­u­ous mon­i­tor­ing of psy­chi­atric patients, par­tic­u­lar­ly those with mood dis­or­ders. Build­ing on ear­li­er work, the Mood­Mon sys­tem was devel­oped and clin­i­cal­ly test­ed, demon­strat­ing both secu­ri­ty and high effec­tive­ness in detect­ing ear­ly symp­toms of men­tal state shifts in indi­vid­u­als with affec­tive disorders. 

Biog­ra­phy

Mał­gorza­ta Sochac­ka earned her PhD from War­saw Tech­ni­cal Uni­ver­si­ty in 1993. She has over 20 years of expe­ri­ence in fun­da­men­tal research in phys­i­cal optics and more than 25 years in IT indus­try man­age­ment. Since 2016, her work has focused on AI appli­ca­tions for mon­i­tor­ing affec­tive dis­or­ders. As a co-founder and key dri­ving force behind the Mood­Mon sys­tem, she is ded­i­cat­ed to advanc­ing tech­nol­o­gy in men­tal health monitoring.