Publications by authors named "Anoushka Chowdhary"

Article Synopsis
  • The study aimed to evaluate the effectiveness of a combined treatment for Major Depressive Disorder (MDD) that includes cognitive behavioral therapy (CBT) and whole-body hyperthermia (WBH).
  • Sixteen adults participated in the trial, with most completing 4 WBH sessions and all completing the self-report depression assessments, showing significant improvements in depression symptoms.
  • Although promising, the study's small sample size and design limit how widely the results can be applied, highlighting the need for larger future trials.
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Article Synopsis
  • The study investigates the relationship between body temperature and depression, hypothesizing that more severe depressive symptoms correlate with higher body temperature, smaller temperature differences between awake and asleep states, and lower temperature amplitude throughout the day.* -
  • Using data from over 20,000 participants, the research found that both self-reported and wearable sensor data indicated higher body temperatures were linked to greater depression severity.* -
  • While lower diurnal temperature amplitude also showed a trend towards being associated with higher depression severity, this result wasn’t statistically significant, suggesting that body temperature changes could be important in understanding and treating major depressive disorder.*
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Background: Females have been historically excluded from biomedical research due in part to the documented presumption that results with male subjects will generalize effectively to females. This has been justified in part by the assumption that ovarian rhythms will increase the overall variance of pooled random samples. But not all variance in samples is random.

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Background: Daily symptom reporting collected via web-based symptom survey tools holds the potential to improve disease monitoring. Such screening tools might be able to not only discriminate between states of acute illness and non-illness, but also make use of additional demographic information so as to identify how illnesses may differ across groups, such as biological sex. These capabilities may play an important role in the context of future disease outbreaks.

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Article Synopsis
  • Early detection of COVID-19 is crucial for controlling transmission, and consumer wearables like the Oura Ring can help by tracking physiological metrics and gathering user-reported data.
  • In a study with over 63,000 participants, a machine learning algorithm successfully predicted COVID-19 onset an average of 2.75 days before testing, achieving a sensitivity of 82% and specificity of 63%.
  • The algorithm's accuracy improved when including continuous temperature data, and results showed variations based on age and sex, emphasizing the need for diverse representation in detection technology development.
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There is significant variability in neutralizing antibody responses (which correlate with immune protection) after COVID-19 vaccination, but only limited information is available about predictors of these responses. We investigated whether device-generated summaries of physiological metrics collected by a wearable device correlated with post-vaccination levels of antibodies to the SARS-CoV-2 receptor-binding domain (RBD), the target of neutralizing antibodies generated by existing COVID-19 vaccines. One thousand, one hundred and seventy-nine participants wore an off-the-shelf wearable device (Oura Ring), reported dates of COVID-19 vaccinations, and completed testing for antibodies to the SARS-CoV-2 RBD during the U.

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Background: Whole-body hyperthermia (WBH) has shown promise as a non-pharmacologic treatment for major depressive disorder (MDD) in prior trials that used a medical (infrared) hyperthermia device. Further evaluation of WBH as a treatment for MDD has, however, been stymied by regulatory challenges.

Objective: We examined whether a commercially available infrared sauna device without FDA-imposed limitations could produce the degree of core body temperature (101.

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People want to interact successfully with other individuals, and they invest significant efforts in attempting to do so. Decades of research have demonstrated that to simplify the dauntingly complex task of interpersonal communication, perceivers predict the responses of individuals in their environment using stereotypes and other sources of prior knowledge. Here, we show that these top-down expectations can also shape the subjective value of expectation-consistent and expectation-violating targets.

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Elevated core temperature constitutes an important biomarker for COVID-19 infection; however, no standards currently exist to monitor fever using wearable peripheral temperature sensors. Evidence that sensors could be used to develop fever monitoring capabilities would enable large-scale health-monitoring research and provide high-temporal resolution data on fever responses across heterogeneous populations. We launched the TemPredict study in March of 2020 to capture continuous physiological data, including peripheral temperature, from a commercially available wearable device during the novel coronavirus pandemic.

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