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Computational modeling predicted the physical appearance, derived from hair growth rate, biologic rhythms, and mental state for human remains from the Roman period. The width of repeat growth intervals (RI\u2019s) on the hair, shown by confocal microscopy, allowed computation of time series of periodicities of the RI\u2019s to model growth rates of the hairs. Our results are based on four hairs from controls yielding 212 data points and the RI\u2019s of six cropped hairs from Zweeloo woman\u2019s scalp yielding 504 data points. Hair growth was, ten times faster than normal consistent with hypertrichosis. Cant\u00fa syndrome consists of hypertrichosis, dyschondrosteosis, short stature, and cardiomegaly. Sympathetic activation and enhanced metabolic state suggesting arousal was also present. Two-photon microscopy visualized preserved portions of autonomic nerve fibers surrounding the hair bulb. Scanning electron microscopy found evidence that a knife was used to cut the hair three to five days before death. Thus computational modeling enabled the elucidation of life\u2019s activities 2000 years after death in this individual with Cantu syndrome. This may have implications for archeology and forensic sciences.<\/jats:p>","DOI":"10.1155\/2015\/818724","type":"journal-article","created":{"date-parts":[[2015,8,6]],"date-time":"2015-08-06T17:09:30Z","timestamp":1438880970000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["Modeling Clinical States and Metabolic Rhythms in Bioarcheology"],"prefix":"10.1155","volume":"2015","author":[{"given":"Clifford","family":"Qualls","sequence":"first","affiliation":[{"name":"Health Sciences Center, University of New Mexico, Albuquerque, NM, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Raffaella","family":"Bianucci","sequence":"additional","affiliation":[{"name":"Department of Biosciences, Centre for Ecological and Evolutionary Synthesis (CEES), University of Oslo, Oslo, Norway"},{"name":"Department of Public Health and Pediatric Sciences, University of Turin, Turin, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael 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