Scaling up Environmental Governance in Precision Forestry.

Precision Forestry is an emerging approach that uses digital technologies for data-driven decision-making in environmental management. Traditional methods for assessing tree risk are often subjective and focus on individual trees using mechanical approaches. The #SecureTree model offers an innovative alternative by deploying sensors to measure biophysical parameters like temperature, humidity, and acceleration.

Changing treatment patterns for hepatocellular carcinoma: A Surveillance, Epidemiology, and End Results-Medicare study.

Background: From 2007 to 2017, sorafenib was the sole systemic therapy for hepatocellular carcinoma (HCC), but nine new therapies were approved from 2017 to 2022. No studies have yet examined population-level treatment patterns for HCC since these approvals.

Methods: For this retrospective cohort, Surveillance, Epidemiology, and End Results (SEER)-Medicare data were used to identify patients who had HCC diagnosed between 2014 and 2019 with claims through 2020.

Fatigue trajectories by wearable remote monitoring of breast cancer patients during radiotherapy.

The aim of this pilot study was to assess the compliance of breast cancer (BC) patients with fitness tracker (FT) monitoring program during radiotherapy (RT) and to characterize radiation-induced fatigue (RIF) status through objective evaluation using FT-collected parameters. Thirty-six BC patients were invited to wear FT during their RT course for continuous monitoring of heart rate (HR) and step counts (STP). RIF assessment was performed weekly, according to CTCAE v5.

Using Oncology Treatment Pathway Data to Evaluate Serious Illness Communication, Care Utilization, and End-of-Life Care for Patients With Cancer.

Purpose: Oncology treatment pathways provide decision support and encourage guideline adherence. Pathway data combined with electronic health record (EHR) data can identify patient populations with poor prognoses, low serious illness conversation (SIC) rates, and high acute care utilization that may benefit from targeted interventions.

Patients And Methods: We conducted a retrospective cohort analysis among adults with cancer treated at seven affiliated sites of the Dana-Farber Cancer Institute (DFCI) who had navigations within 21 treatment pathways between July 29, 2019, and March 8, 2023.

Impact of an online decision support tool for ductal carcinoma in situ (DCIS) using a pre-post design (AFT-25).

Background: The heterogeneous biology of ductal carcinoma in situ (DCIS), as well as the variable outcomes, in the setting of numerous treatment options have led to prognostic uncertainty. Consequently, making treatment decisions is challenging and necessitates involved communication between patient and provider about the risks and benefits. We developed and investigated an interactive decision support tool (DST) designed to improve communication of treatment options and related long-term risks for individuals diagnosed with DCIS.