Article
Engineering, Electrical & Electronic
Junjun Huan, Joshua S. Bernstein, Parker Difuntorum, Naren Vikram Raj Masna, Nikolaus Gravenstein, Swarup Bhunia, Soumyajit Mandal
Summary: This paper describes a wearable, open-source wrist temperature monitoring system that can reliably identify slowly-varying skin temperature patterns that may be indicative of infections. By using multiple sensors and a template-matching algorithm, persistent anomalous temperature patterns can be detected.
IEEE SENSORS JOURNAL
(2022)
Review
Biochemical Research Methods
Ana Diaz-Fernandez, Elena E. Ferapontova
Summary: The discovery of new molecular biomarkers of cancer and the development of diagnostic devices using these biomarkers have greatly improved the clinical analysis and outcomes of cancer. Liquid biopsy sensors, which use aptamers for the detection of cancer biomarkers in body fluids, provide fast and inexpensive non-invasive screening tools. Incorporating aptamers in electrochemical sandwich biosensors, known as ELASA assays, has shown promise in improving detection schemes.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2023)
Article
Geriatrics & Gerontology
Zhaoqi Guo, Jun Wang, Dan Liu, E. Tian, Jingyu Chen, Weijia Kong, Sulin Zhang
Summary: This study conducted a cross-sectional study on patients with definite VM and probable VM. The results showed a high rate of hearing loss, especially high-frequency hearing loss, in patients with VM. The effectiveness of the mean EHF hearing threshold cutoff value in predicting hearing loss supported its use in the early detection and monitoring of disease progression.
FRONTIERS IN AGING NEUROSCIENCE
(2023)
Article
Oncology
Carolina A. Ferreira, Pedram Heidari, Bahar Ataeinia, Nicoleta Sinevici, Meghan E. Sise, Robert B. Colvin, Eric Wehrenberg-Klee, Umar Mahmood
Summary: Cancer immunotherapy has greatly improved patient prognosis, but immune-related adverse events remain a challenge. This study demonstrates the use of a granzyme B-targeted PET imaging agent to identify and visualize such events in a murine model, providing potential clinical applications.
CLINICAL CANCER RESEARCH
(2021)
Review
Medicine, General & Internal
Alyce M. Kuo, Alina Markova
Summary: Immune checkpoint blockade (ICB) shows promising results in cancer treatment, but it can also cause severe dermatologic adverse events (DAEs), which may limit its use. Proper identification and treatment of these DAEs are crucial to maximize the effectiveness of ICB therapy.
FRONTIERS IN MEDICINE
(2022)
Article
Engineering, Electrical & Electronic
Mohammad Y. Azab, Mohamed Farhat O. Hameed, Abed M. Nasr, S. S. A. Obayya
Summary: The proposed novel metamaterial biosensor design for cancer early detection is characterized by high sensitivity, linear performance, and absorption rate, allowing for detection of various cancer cells with good robustness against fabrication imperfections. The analysis was carried out using the full vectorial finite element method.
IEEE SENSORS JOURNAL
(2021)
Review
Biochemistry & Molecular Biology
Michael Dougan, Adrienne M. Luoma, Stephanie K. Dougan, Kai W. Wucherpfennig
Summary: Immunotherapies have had a significant impact on cancer treatment over the past decade, but inflammatory toxicities remain a major concern for certain therapies. Understanding the balance between pro- and anti-inflammatory pathways is crucial for limiting inflammatory toxicities while preserving anti-tumor efficacy.
Article
Immunology
Chae Won Lee, Soonok Sa, Myunghee Hong, Jihyun Kim, Sung Ryul Shim, Hyun Wook Han
Summary: A recent study compared the incidence of adverse events in adolescents and adults after vaccination with COVID-19 vaccine BNT162b2 (Pfizer-BioNTech). The study found that the risk of myocarditis or pericarditis among adolescents was significantly higher in men than in women, especially after the second dose of the vaccine. Additionally, severe adverse events such as multisystem inflammatory syndromes were significantly higher in adolescents than in adults.
Review
Multidisciplinary Sciences
David Crosby, Sangeeta Bhatia, Kevin M. Brindle, Lisa M. Coussens, Caroline Dive, Mark Emberton, Sadik Esener, Rebecca C. Fitzgerald, Sanjiv S. Gambhir, Peter Kuhn, Timothy R. Rebbeck, Shankar Balasubramanian
Summary: Early detection of cancer is crucial for improving survival rates, but unfortunately, a significant number of cases are diagnosed at an advanced stage. Overcoming various challenges is essential to achieve early detection for all cancers, including understanding high-risk individuals, elucidating the biology and trajectory of precancer and early cancer, and developing sensitive and specific detection technologies.
Review
Pharmacology & Pharmacy
Manuel Ramos-Casals, Alejandra Flores-Chavez, Pilar Brito-Zeron, Olivier Lambotte, Xavier Mariette
Summary: Immunotherapies are effective treatments for inflammatory diseases, but their use has been linked to the development of autoimmune disorders. The use of immunotherapies in solid cancer patients has dramatically changed the scenario, causing collateral side effects on the immune system. The broad pharmacological and phenotypic scenario of immune-related adverse events (irAEs) associated with kinase inhibitors needs more research from a multidisciplinary perspective.
PHARMACOLOGY & THERAPEUTICS
(2022)
Article
Multidisciplinary Sciences
Surabhi R. Madhvapathy, Jiao-Jing Wang, Heling Wang, Manish Patel, Anthony Chang, Xin Zheng, Yonggang Huang, Zheng J. Zhang, Lorenzo Gallon, John A. Rogers
Summary: Researchers have developed an implantable bioelectronic system that can continuously and in real-time monitor the temperature and thermal conductivity of a kidney, enabling early detection of organ transplant rejection. The system provides warning signs that cannot be detected in blood, helping to prevent and treat transplant rejection in advance.
Article
Multidisciplinary Sciences
Yi Li, Youmin Tang, Shuai Wang, Ralf Toumi, Xiangzhou Song, Qiang Wang
Summary: This study reveals an increasing threat of rapid intensification in coastal regions, which is attributed to global ocean warming.
NATURE COMMUNICATIONS
(2023)
Article
Oncology
June Y. Hou, Jocelyn S. Chapman, Ekaterina Kalashnikova, William Pierson, Karen Smith-McCune, Geovanni Pineda, Reena Marie Vattakalam, Alexandra Ross, Meredith Mills, Carlos J. Suarez, Tracy Davis, Robert Edwards, Michelle Boisen, Sarah Sawyer, Hsin-Ta Wu, Scott Dashner, Vasily N. Aushev, Giby George, Meenakshi Malhotra, Bernhard Zimmermann, Himanshu Sethi, Adam C. ElNaggar, Alexey Aleshin, James M. Ford
Summary: This study examined the utility of circulating tumor DNA (ctDNA) as a prognostic biomarker for epithelial ovarian cancer (EOC). The presence of ctDNA post-surgically was found to be highly predictive of reduced recurrence-free survival. CtDNA outperformed CA-125 in identifying patients at highest risk of recurrence.
GYNECOLOGIC ONCOLOGY
(2022)
Article
Oncology
Efstathia Polychronopoulou, Sharon H. Giordano, Lin-Na Chou, Xiaoying Yu, Yong-Fang Kuo
Summary: This study compared three approaches to detecting adverse drug events attributed to trastuzumab using an administrative claims dataset and found that these methods can be used to monitor and identify expected adverse drug events.
Article
Biotechnology & Applied Microbiology
Han Shi, Tenghui Li, Zhaoyang Liu, Junhua Zhao, Feng Qi
Summary: The study constructed a high-resolution THz imaging system and successfully identified differences in THz transmittance in gastric tissues, achieving a resolution of 60 microns for the first time. The similar terahertz transmittance between gastric mucosa and submucosa may indicate the appearance of cancerization.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Biochemical Research Methods
Jonathan Tyler, Daniel Forger, Jae Kyoung Kim
Summary: The study developed a model-based inference method that successfully inferred positive and negative regulations within various oscillatory networks, outperforming popular inference methods.
Article
Pediatrics
Angela C. Weyand, Kate D. Fitzgerald, Mary McGrath, Vibhuti Gupta, Thomas M. Braun, Elisabeth H. Quint, Sung W. Choi
Summary: The study found an association between heavy menstrual bleeding and depression diagnosis in female adolescents, while hormonal contraception was not associated with depression. Most patients with depression and heavy menstrual bleeding developed depression following or concurrent with heavy menstrual bleeding.
JOURNAL OF PEDIATRICS
(2022)
Article
Engineering, Electrical & Electronic
Ningyuan Wang, Daniel B. Forger
Summary: This paper proposes a new method called the level set Kalman filter (LSKF) for continuous-discrete systems with nonlinear state-space models. The LSKF improves the approximation of the probability distribution by enhancing the time-update step and measurement-update step, and it consistently performs better than existing methods in a range of parameters.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2022)
Article
Psychiatry
Kristen N. Gilley, Loubna Baroudi, Miao Yu, Izzy Gainsburg, Niyanth Reddy, Christina Bradley, Christine Cislo, Michelle Lois Rozwadowski, Caroline Ashley Clingan, Matthew Stephen DeMoss, Tracey Churay, Kira Birditt, Natalie Colabianchi, Mosharaf Chowdhury, Daniel Forger, Joel Gagnier, Ronald F. Zernicke, Julia Lee Cunningham, Stephen M. Cain, Muneesh Tewari, Sung Won Choi
Summary: The study investigated the impact of the COVID-19 pandemic on college students' physical, mental, and social health, revealing common mental health problems in this population. Several factors, such as substance use, were found to be associated with the risk of COVID-19.
JMIR MENTAL HEALTH
(2022)
Article
Engineering, Electrical & Electronic
Bengie L. Ortiz, Jo Woon Chong, Vibhuti Gupta, Monay Shoushan, Kwanghee Jung, Tim Dallas
Summary: The paper developed a BA classifier method for smart devices which effectively reduced motion and noise artifacts in raw PPG signals, and utilized 16 PPG signal features to identify subjects. The experimental results showed high accuracy levels and acceptable equal error rates for the EBT-based BA algorithm.
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Artificial Intelligence
Bengie L. L. Ortiz, Vibhuti Gupta, Jo Woon Chong, Kwanghee Jung, Tim Dallas
Summary: User authentication is the process of using biometric techniques to gain access to a physical or virtual site. In healthcare monitoring, photoplethysmography (PPG) technology is used to collect blood change data. Machine learning algorithms, including long short-term memory (LSTM), are applied to classify PPG signals for user identification on smart devices. The developed Bi-LSTM-based UA algorithm achieves high accuracy in distinguishing users based on raw PPG data.
MULTIMODAL TECHNOLOGIES AND INTERACTION
(2022)
Editorial Material
Cell Biology
Benjamin Shapiro, Daniel B. Forger
CELL REPORTS MEDICINE
(2022)
Article
Biology
Caleb Mayer, Olivia Walch, Daniel B. Forger, Kevin Hannay
Summary: Key individual differences in circadian-related parameters such as intrinsic period and light sensitivity can impact circadian timing and the effectiveness of time-sensitive interventions. This study investigates the effects of parameter variations on phase and amplitude outputs of a human circadian rhythm model, using in silico light data to mimic common schedules. The results show that parameter sensitivity is highly influenced by the lighting routine, with darkness and shift work schedules being the most sensitive. A framework is developed to measure overall sensitivity levels and individual parameter contributions, and the model's ability to extract parameters from noisy light schedules is evaluated.
JOURNAL OF BIOLOGICAL RHYTHMS
(2023)
Article
Health Care Sciences & Services
Sarah B. Koblick, Miao Yu, Matthew DeMoss, Qiaoxue Liu, Charles N. Nessle, Michelle Rozwadowski, Jonathan P. Troost, Jennifer A. Miner, Afton Hassett, Noelle E. Carlozzi, Debra L. Barton, Muneesh Tewari, David A. Hanauer, Sung Won Choi
Summary: This study demonstrates that mobile health technology may provide health-related quality of life support for family caregivers of pediatric patients with cancer. The findings support the feasibility of the study protocol and participants' willingness to participate in future studies of this intervention alongside routine cancer care delivery.
Article
Cell Biology
Caleb Mayer, Jonathan Tyler, Yu Fang, Christopher Flora, Elena Frank, Muneesh Tewari, Sung Won Choi, Srijan Sen, Daniel B. Forger
Summary: Consumer-grade wearables are crucial for remotely monitoring disease progression, especially in the current pandemic. By analyzing different features of heart rate, physiological changes due to COVID-19 infection can be identified and tracked.
CELL REPORTS MEDICINE
(2022)
Article
Biotechnology & Applied Microbiology
Jonathan Tyler, Yining Lu, Jay Dunlap, Daniel B. Forger
Summary: This study investigates repression mechanisms in cyanobacterial and eukaryotic clocks through mathematical modeling and systems analysis. It identifies a common mathematical model that describes the mechanism by which organisms generate rhythms, and proposes a repressor phospholock mechanism to model the negative feedback through transcription in higher organisms' clocks.
Article
Health Care Sciences & Services
Yitong Huang, Caleb Mayer, Olivia J. Walch, Clark Bowman, Srijan Sen, Cathy Goldstein, Jonathan Tyler, Daniel B. Forger
Summary: The study discusses the need for mobile measures of human circadian rhythms in the era of chronotherapy. Two wearable measures have been validated and the effects of social distancing on circadian rhythms were studied. The results show that after lockdown, there was divergence in circadian rhythms in 70% of subjects, indicating a need for interventions to better align separate circadian rhythms in the body.
FRONTIERS IN DIGITAL HEALTH
(2021)
Article
Biochemical Research Methods
Clark Bowman, Yitong Huang, Olivia J. Walch, Yu Fang, Elena Frank, Jonathan Tyler, Caleb Mayer, Christopher Stockbridge, Cathy Goldstein, Srijan Sen, Daniel B. Forger
Summary: The research introduces a statistical method to extract and track physiological parameters from wearable-device data, including CRHR, activity effects, and effects of meals, posture, and stress. Testing on over 130,000 days of real-world data showed distinct CRHR dynamics, personalized phase-response curve to activity, and variation among individuals. The method is implemented in the "Social Rhythms" app for analysis based on data from wearable-device users.
CELL REPORTS METHODS
(2021)
