Apr 21,2022

AI Helps Physicians Better Assess the Effectiveness of Bladder Cancer Treatment

In a small but multi-institutional study, an artificial intelligence (AI)-based system improved providers' assessments of whether patients with bladder cancer had complete response to chemotherapy before a radical cystectomy (bladder removal surgery). Yet the researchers caution that AI isn't a replacement for human expertise and that their tool shouldn’t be used as such. "If you use the tool smartly, it can help you," said Lubomir Hadjiyski, Ph.D., a professor of radiology at the University of Michigan Medical School and the senior author of the study.

CLINICAL STUDY

#ai/software

View Analyst & Ambassador Comments
Go to original news
Apr 11,2022

Survey on the effectiveness of telephone-based communication with relatives of hospitalized cancer patients in COVID-19 era in Italy

No-visitor policies adopted to prevent coronavirus disease-19 (COVID-19) spread in hospital wards have deeply impacted communication with patients and their relatives. Whereas in pre-COVID-19 era family-clinician meetings were held in person, during the pandemic interactions often took place over the phone, frequently causing feelings of uncertainty and distress to the close ones at home. The goal of this study was to assess and improve the effectiveness of structured telephone-based communication with hospitalized onco-hematological patients’ relatives in COVID-19 era.

CLINICAL STUDY
View Analyst & Ambassador Comments
Go to original news
Apr 12,2022

How technology can improve communication and health outcomes in patients with advanced cancer: an integrative review

Patients facing an advanced cancer diagnosis require clear communication with their clinicians. Technology has been utilized in many different capacities to navigate communication in cancer care, but few authors examine the specific areas of communication from a theoretical perspective. The purpose of this literature review was to (1) identify articles focused on technology-based communication strategies to improve health outcomes in individuals with advanced cancer, and (2) using Epstein and Street’s framework, identify areas in which technology-based communication has been used to improve health outcomes, and (3) identify gaps that exist in technology-based communication care in patients with advanced cancer.

CLINICAL STUDY
View Analyst & Ambassador Comments
Go to original news
Apr 12,2022

Development and evaluation of the efficacy of a web-based education program among cancer patients undergoing treatment with systemic chemotherapy: a randomized controlled trial

The study aimed to develop a web-based education program among cancer patients undergoing treatment with systemic chemotherapy and to evaluate the efficacy of the program on symptom control, quality of life, self-efficacy, and depression.

CLINICAL STUDY
View Analyst & Ambassador Comments
Go to original news
Apr 14,2022

Nurse-led telehealth interventions for symptom management in patients with cancer receiving systemic or radiation therapy: a systematic review and meta-analysis

Patients receiving cancer treatments experience many treatment-related symptoms. Telehealth is increasingly being used to support symptom management. The overall aim was to determine the effectiveness of nurse-led telehealth symptom management interventions for patients with cancer receiving systemic or radiation therapy compared to usual care on health service use, quality of life, and symptom severity.

CLINICAL STUDY

#telehealth

View Analyst & Ambassador Comments
Go to original news
Apr 29,2022

Impact of the app-based and nurse-led supportive care program AKO@dom on dose intensity of oral-targeted therapies in patients with metastatic renal cell cancer: a multicentric observational retrospective study

This multicenter (n = 3), retrospective study evaluated all consecutive mRCC patients who participated in the AKO@dom program, which consisted of an app-based and nurse-led weekly patient evaluation at home during the first 3 months of TKI intake. Treatment patterns and modifications were described, and the mean DI (mDI) was calculated at the end of AKO@dom.

CLINICAL STUDY

#mobile app

#rpm

View Analyst & Ambassador Comments
Go to original news
May 23,2022

Swiss multicentre study to investigate the effect of ePRO-based model of care on early detection and management of immune-related adverse events

Kaiku Health is taking part in a study assessing the use of an electronic Patient-Reported Outcome (ePRO)-based model of care to evaluate onset of symptomatic immune-related adverse events in cancer patients and their detection by healthcare providers. This phase-II randomised controlled trial, comparing the ePRO-based model of care to the current standard model of care, is conducted at the Geneva University Hospitals and Lausanne University Hospital, Switzerland.

CLINICAL STUDY

#platform

#rpm

View Analyst & Ambassador Comments
Go to original news
May 03,2022

Large study shows effectiveness of combining body sensors and GAIA's digital therapeutics system

In this trial, GAIA combined its digital therapeutic software platform with smart sensors, including a sensorized shirt that collects biomedical data (e.g., respiration dynamics, electrocardiogram, body movement) and a predictive algorithm that forecasts the development of individual patients’ depressive symptoms. The goal of the system was to provide personalized feedback and easily accessible treatment options for patients with severe somatic conditions (e.g., cancer, myocardial infarction, and kidney failure), in which depression is often unrecognized and inadequately treated.

CLINICAL STUDY

#dtx

#connected device

View Analyst & Ambassador Comments
Go to original news
May 26,2022

The Impact of COVID-19 on Cancer Diagnosis

Belong.Life, a leading global tech provider of high-engagement patient communities and care platforms, today announced that the American Society of Clinical Oncology (ASCO) has published a Belong.Life abstract in its 2022 Annual Meeting Abstract Book providing new insight into cancer diagnosis and reactivation following COVID-19 infection. The study was based on anonymized data aggregated from the Belong - Beating Cancer Together app, which is used by almost 1 in 10 U.S.-based cancer patients.

CLINICAL STUDY

#mobile app

View Analyst & Ambassador Comments
Go to original news
May 06,2022

Using AI to Predict Bone Fractures in Cancer Patients

As medicine continues to embrace machine learning, a new study suggests how scientists may use artificial intelligence to predict how cancer may affect the probability of fractures along the spinal column. In the U.S., more than 1.6 million cases of cancer are diagnosed every year, and about 10% of those patients experience spinal metastasis - when disease spreads from other places in the body to the spine. One of the biggest clinical concerns patients face is the risk of spinal fractures due to these tumors, which can lead to severe pain and spinal instability.

CLINICAL STUDY

#ai/software

View Analyst & Ambassador Comments
Go to original news
Subscribe to CLINICAL STUDY