Oct 26,2021

Treatment Technologies & Insights Launches Immunotherapy Study At Seattle Cancer Care Alliance

Nearly half of all adult advanced-cancer patients are candidates for treatment with immune checkpoint inhibitors (ICIs). Wave Health app, ranked the #1 rated PRO application for oncology patients in 2020 by Cedars-Sinai, today announced a pioneering new study to enable an innovative approach to monitor real-world immunotherapy symptoms and side effects that could shorten the cycle for patients and physicians to understand how it really feels to be on their medications.

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Nov 05,2021

A Digital Self-management Program (Help to Overcome Problems Effectively) for People Living With Cancer: Feasibility Randomized Controlled Trial

This study aims to test the feasibility of a digitally delivered self-management program for people with cancer. Participants were randomized into an intervention group (IG) or a waitlist Control Group. The intervention was a 6-week digital self-management program, Help to Overcome Problems Effectively (HOPE), for people with cancer.

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Nov 08,2021

Tulane University Study Uses AI to Detect Colorectal Cancer

A Tulane University researcher found that artificial intelligence (AI) can accurately detect and diagnose colorectal cancer from tissue scans as well or better than pathologists, according to a new study in the journal Nature Communications.

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Nov 04,2021

The efficacy of web or mobile-based interventions to alleviate emotional symptoms in people with advanced cancer: a systematic review and meta-analysis

This review aims to critically evaluate the efficacy of web or mobile-based (WMB) interventions impacting emotional symptoms in patients with advanced cancer. Twenty-three of the 1177 screened studies met the inclusion criteria, and a total sample of 2558 patients were included. The sample was 57% female, and 33% had advanced cancer with mean age of 57.15 years. Thirteen studies evaluated anxiety, nineteen evaluated depression, and eleven evaluated distress. Intervention components included general information, tracking, communication, multimedia choice, interactive online activities, tailoring/feedback, symptom management support content, and self-monitoring.

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Nov 01,2021

Flatiron Health Presents Research at ISPOR Europe

Flatiron Health is presenting results from its research collaboration with the National Institute for Health and Care Excellence (NICE) at Virtual ISPOR Europe 2021.

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Nov 12,2021

OncoHost to Present Data at SITC 2021 on Predicting NSCLC Patient Response to Immunotherapy Utilizing Proteomic Profiling

OncoHost, a global leader in next-generation precision oncology for improved personalized cancer therapy, has published a study identifying three distinct proteome subtypes that are associated with response from a cohort of non-small cell lung cancer (NSCLC) patients undergoing immunotherapy.

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Dec 16,2021

Study: 83% of Oncologists Believe Real-World Data Is Critical to Accelerating Cancer Research and Treatment

COTA announced insights from a study of practicing oncologists that found 83 percent of oncologists surveyed believe real-world data is critical to accelerating the development of potentially life-saving cancer drugs and treatments.

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Dec 17,2021

Israeli research institute makes great contributions to cancer research

Graduates and professors of Israeli institute the Technion have made large contributions in the field of cancer research and treatment. Technion professor Yuval Shaked, together with startup OncoHost, is responsible for the creation of a blood test that will help doctors to provide personalized treatment plans to cancer patients, and plans for clinical trials in the UK in collaboration with the country’s National Healthcare System are in the works.

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May 14,2020

Research published at ASCO 2020 shows that machine learning models trained with patient-reported data can predict onset and presence of immune-related adverse events

The cooperative research between Kaiku Health and Oulu University Hospital aimed to investigate whether patient-reported symptom data (Patient-Reported Outcomes) could be used as an input for machine learning-based prediction models for early detection of immune-related adverse events (irAEs). The research was published at ASCO Annual Meeting 2020 Online Publication on the 13th of May, 2020. The results suggest that machine learning-based prediction models, using patient-reported symptom data as input for the models, can predict the presence and onset of irAEs with high accuracy.

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Aug 22,2020

Patient and clinician perspectives of desired features for a web-based self-management program (icanmanage.ca): exposing patients “hard work” of managing acute cancer

People with cancer benefit from self-management support, but report limitations in the type/amount of support they receive from healthcare professionals during cancer treatment. To intervene in this critical period, our team is developing a web-based self-management system, called I Can Manage Cancer (ICMC). The purpose of this paper is to report patient and clinician perspectives on the preferred features and functions in a self-management system that informed the development of the ICMC program.

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