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Tag: cancer

The Tech Solutions Helping Battle Depression and Anxiety

Article Excerpt: Though COVID-19 is no longer classified as a global health emergency, the spike in mental health disorders that accompanied the rapid spread of the virus hasn’t abated… the rise in mental health conditions has also meant that more people are comfortable seeking support. As a result, there’s never been more demand for health and wellbeing services with the behavioral health market expected to grow to $105 billion by 2029. And tech innovators continue to develop solutions that address specific gaps in the treatment pipeline, democratize access to treatment such as therapy and provide tools to manage our wellbeing holistically.

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Article Source: 150sec


NCI-Funded Centers Study New Ways to Apply Telehealth Across Cancer Care

Article Excerpt: …with the initial urgency of the pandemic in the past, public health agencies including NCI are examining ways to maximize the benefits of telehealth, from cancer screening to survivorship. NCI’s former director, Norman “Ned” Sharpless, MD, inspired agency officials to undertake a widespread effort to accelerate and optimize use of telehealth, (Robin C.) Vanderpool (chief of the health communication and informatics research branch in the division of cancer control and population sciences at NCI) said. “Dr. Sharpless came to our division and said, ‘We need take advantage of this one silver lining coming out of the pandemic.’” she said. “‘We need to understand what’s happening in the cancer space with telehealth.’”

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Article Source: Healio


Effect of Mobile Phone App–Based Interventions on Quality of Life and Psychological Symptoms Among Adult Cancer Survivors: Systematic Review and Meta-analysis of Randomized Controlled Trials

Qin M, Chen B, Sun S, Liu X.Effect of Mobile Phone App–Based Interventions on Quality of Life and Psychological Symptoms Among Adult Cancer Survivors: Systematic Review and Meta-analysis of Randomized Controlled Trials. J Med Internet Res 2022;24(12):e39799 DOI: 10.2196/39799

A systematic review and meta-analysis was conducted to investigate the effectiveness of mobile phone app interventions on quality of life (QOL) and psychological outcomes in adult cancer patients. Researchers identified randomized controlled trial studies evaluating apps that targeted adults with cancer and QOL or psychological symptoms. In total, 30 randomized controlled trials with a total of 5,353 patients were included in the meta-analysis. App interventions included health education, physician-patient communication, or data management regarding patient self-monitoring behaviors. On average, interventions were conducted over 2.8 months. Compared with standard care, app interventions significantly improved QOL (Standardized Mean Difference (SMD)=0.39, p<.001) and self-efficacy (SMD=0.15, p=.03) and reduced anxiety (SMD=0.64, p<.001), depression (SMD=-0.33, p=.009), and distress (SMD=-0.34, p=.01) symptoms. Subgroup analyses were also conducted for intervention duration, type of cancer, theoretical approach, treatment category, and intervention delivery (interactive 2-way communication format versus 1-way communication format). Short-term (<3 months) interventions were found to have higher effectiveness compared to longer term interventions for QOL, anxiety and depression. However, given that only 9 studies were longer than 3 months, there is a need for further research on the long-term effects of these app interventions. Apps that included physician-patient communication and that were based on cognitive behavioral therapy were most effective for improving QOL and psychological outcomes. Overall, results provide evidence for the effectiveness of mobile phone app interventions on QOL and psychological outcomes, however caution is needed in the over-interpretation of findings due to high heterogeneity across the studies.


Freakin’ Cool Tech: Rytek

Article Excerpt: RyTek Medical of Lebanon continues to find new ways to improve biomedical devices, having already found success in the areas of traumatic brain injury monitoring, early stroke detection, cancer sensing and imaging, and now dental surgery guidance through the use of bioimpedance-based medical technologies… Ryan Halter, founder and CEO of RyTek, and an associate professor of engineering at Dartmouth College, says he was approached by a dental surgeon who wanted Halter and his academic lab to tackle the challenge of providing feedback during surgery.

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Article Source: Business NH


Precision Cancer Prevention Research and Innovation

Article Excerpt: Precision prevention cancer research is one of the key priorities of the Byrne Family Cancer Research Institute at Dartmouth Cancer Center. For 50 years, world-renowned researchers and clinicians of Dartmouth College and Dartmouth Health have expanded the boundaries of science and contributed to personalized immunotherapies and other critical treatments through a collaborative, entrepreneurial approach—leading the way to better cancer outcomes worldwide.

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Article Source: Dartmouth Health and Geisel School of Medicine Giving


Artificial Intelligence May Help to Classify Colorectal Polyps

Article Excerpt: Researchers at the Geisel School of Medicine at Dartmouth College in Hanover, New Hampshire, recruited 15 pathologists to analyze and classify specimens of the four most common types of colorectal polyps from 100 slides. In one session, about half the doctors used the AI-augmented digital system while the others used just a microscope. After a 12-week break, each group switched techniques and read the same slides again. The pathologists accurately classified the samples 73.9% of the time when using just a microscope and 80.8% when they used the AI-augmented digital system… “This is about helping pathologists make this subtype classification more accurately and more efficiently,” says Saeed Hassanpour, an associate professor at the Geisel School of Medicine who was the senior author of the study.

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Article Source: Cancer Today Magazine


New AI Model Accurately Classifies Colorectal Polyps Using Slides from 24 Institutions

Article Excerpt: An artificial intelligence (AI) model for automated classification of colorectal polyps could benefit cancer screening programs by improving efficiency, reproducibility, and accuracy, as well as reducing access barriers to pathological services. In a new study out of Dartmouth’s and Dartmouth-Hitchcock’s Norris Cotton Cancer Center, a computer science and clinical research team led by Saeed Hassanpour, PhD, trained a deep neural network to do just that. Not only can their model distinguish the four major types of colorectal polyps at the level of practicing pathologists, as evaluated on a dataset across multiple external institutions, but also proves that a model designed using data from a single institution can achieve high accuracy on outside data.

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Article Source: Dartmouth Cancer Center News


Adolescents’ and young adults’ experiences of a prototype cancer smartphone app

Hanghøj S, Boisen KA, Hjerming M, Pappot H. Adolescents’ and young adults’ experiences of a prototype cancer smartphone app. DIGITAL HEALTH. January 2021. doi:10.1177/2055207621997258

Researchers evaluated the usefulness of a cancer smartphone app among adolescent and young adult cancer patients. Twenty cancer patients aged 16-29 years old were recruited and provided a prototype app. The Kræftværket app was co-created by health professionals and eHealth app developers. The app is based on a youth center (called Kræftværket) with a common room and wards for cancer patients aged 15-29 in the Copenhagen University Hospital in Denmark. The aim of the app is to provide the experience of Kræftværket by bringing the in-person community into a virtual space. The app consists of a symptom and activity tracking diary and an information bank with videos, links, and Youtube channel specific for adolescent and young adult cancer patients. There is also a community forum and messaging function. Participants installed the app for a 6-week period and participated in focus group interviews at the end of this period to reflect on their experiences and evaluate the features and functions of the app. Participants were satisfied with the app as an everyday tool. A shared concern was that although the app was meant to address the continuum of cancer experience, it was considered by participants to be most relevant at disease onset. There were also safety concerns expressed related to anonymity, safe communication, and tracking statistics. Participants indicated that the app increased a feeling of normalcy and was feasible to integrate into everyday life. Feedback will be incorporated into a final version of the app; future research needs to investigate usability of the app on a larger scale throughout the cancer journey from diagnosis to treatment and recovery.