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- The study examines the link between Parkinson's disease (PD) and skin cancer risk factors, looking specifically at actinic keratosis (AK), non-melanoma skin cancer (NMSC), and cutaneous malignant melanoma (CMM) among individuals with and without PD.
- A total of 141 patients with PD and 155 controls were analyzed, revealing that CMM was more prevalent in PD patients, with risk factors like prolonged sun exposure, freckles, and solar lentigines particularly associated with skin tumours in the PD group.
- The research indicates that while certain skin tumour risk factors exist, PD status by itself isn't independently linked to these risks, highlighting the need for regular dermatological
Biomathematical model to analyze the transmission dynamics of Covid-19: Case study, Santiago de Cali, Colombia.
PLoS One
December 2024
Facultad de Ingeniería, Universidad de San Buenaventura, Cali, Colombia.
The Covid-19 pandemic has challenged both the scientific community and government authorities in Colombia. Both sectors are collaborating to understand the transmission and spread of the virus and to establish control strategies. This study proposes a biomathematical model with difference equations to analyze the transmission of Covid-19 in Santiago de Cali from March 2020 to June 2022.
View Article and Find Full Text PDFBiomathematical modeling of fatigue due to sleep inertia.
J Theor Biol
August 2024
Sleep and Performance Research Center, Washington State University, 412 E. Spokane Falls Blvd., Spokane, WA 99202-2131, USA; Department of Translational Medicine and Physiology, Washington State University Health Sciences Spokane, 412 E. Spokane Falls Blvd., Spokane, WA 99202, USA. Electronic address:
Biomathematical models of fatigue capture the physiology of sleep/wake regulation and circadian rhythmicity to predict changes in neurobehavioral functioning over time. We used a biomathematical model of fatigue linked to the adenosinergic neuromodulator/receptor system in the brain as a framework to predict sleep inertia, that is, the transient neurobehavioral impairment experienced immediately after awakening. Based on evidence of an adenosinergic basis for sleep inertia, we expanded the biomathematical model with novel differential equations to predict the propensity for sleep inertia during sleep and its manifestation after awakening.
View Article and Find Full Text PDFDevelopment of a long noncoding RNA-based machine learning model to predict COVID-19 in-hospital mortality.
Nat Commun
May 2024
Firalis SA, Huningue, France.
Tools for predicting COVID-19 outcomes enable personalized healthcare, potentially easing the disease burden. This collaborative study by 15 institutions across Europe aimed to develop a machine learning model for predicting the risk of in-hospital mortality post-SARS-CoV-2 infection. Blood samples and clinical data from 1286 COVID-19 patients collected from 2020 to 2023 across four cohorts in Europe and Canada were analyzed, with 2906 long non-coding RNAs profiled using targeted sequencing.
View Article and Find Full Text PDFObjective assessment of fatigue among aviation personnel using a bio-mathematical model: An experimental study.
Med J Armed Forces India
August 2022
SMO, 47 Wing, Medical Department, Air Force Station, Thanjavur SMC, Thanjavur, Tamilnadu, India.
Background: There are many subjective and objective tools to detect, assess, and quantify fatigue. This study is a novice attempt to assess the occupational fatigue among the aviation personnel employing a computerized work-rest schedule tool integrated with actigraphy.
Methods: Thirty-eight aviation personnel were assessed for their sleep by using an actigraphy device.
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