Efficient gradient boosting for prognostic biomarker discovery.

MOTIVATION: A gradient boosting decision tree (GBDT) is a powerful ensemble machine-learning method that has the potential to accelerate biomarker discovery from high-dimensional molecular data. Recent algorithmic advances, such as extreme gradient boosting (XGB) and light gradient boosting (LGB), have rendered the GBDT training more efficient, scalable and accurate. However, these modern techniques have not yet been widely adopted in discovering biomarkers for censored survival outcomes, which are key clinical outcomes or endpoints in cancer studies. RESULTS: In this paper, we present a new R package 'Xsurv' as an integrated solution that applies two modern GBDT training frameworks namely, XGB and LGB, for the modeling of right-censored survival outcomes. Based on our simulations, we benchmark the new approaches against traditional methods including the stepwise Cox regression model and the original gradient boosting function implemented in the package 'gbm'. We also demonstrate the application of Xsurv in analyzing a melanoma methylation dataset. Together, these results suggest that Xsurv is a useful and computationally viable tool for screening a large number of prognostic candidate biomarkers, which may facilitate future translational and clinical research. AVAILABILITY AND IMPLEMENTATION: 'Xsurv' is freely available as an R package at: https://github.com/topycyao/Xsurv. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

spatialGE: quantification and visualization of the tumor microenvironment heterogeneity using spatial transcriptomics.

SUMMARY: Spatially resolved transcriptomics promises to increase our understanding of the tumor microenvironment and improve cancer prognosis and therapies. Nonetheless, analytical methods to explore associations between the spatial heterogeneity of the tumor and clinical data are not available. Hence, we have developed spatialGE, a software that provides visualizations and quantification of the tumor microenvironment heterogeneity through gene expression surfaces, spatial heterogeneity statistics that can be compared against clinical information, spot-level cell deconvolution and spatially informed clustering, all using a new data object to store data and resulting analyses simultaneously. AVAILABILITY AND IMPLEMENTATION: The R package and tutorial/vignette are available at https://github.com/FridleyLab/spatialGE. A script to reproduce the analyses in this manuscript is available in Supplementary information. The Thrane study data included in spatialGE was made available from the public available from the website https://www.spatialresearch.org/resources-published-datasets/doi-10-1158-0008-5472-can-18-0747/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

spatialTIME and iTIME: R package and Shiny application for visualization and analysis of immunofluorescence data.

SUMMARY: Multiplex immunofluorescence (mIF) staining combined with quantitative digital image analysis is a novel and increasingly used technique that allows for the characterization of the tumor immune microenvironment (TIME). Generally, mIF data is used to examine the abundance of immune cells in the TIME; however, this does not capture spatial patterns of immune cells throughout the TIME, a metric increasingly recognized as important for prognosis. To address this gap, we developed an R package spatialTIME that enables spatial analysis of mIF data, as well as the iTIME web application that provides a robust but simplified user interface for describing both abundance and spatial architecture of the TIME. The spatialTIME package calculates univariate and bivariate spatial statistics (e.g. Ripley's K, Besag's L, Macron's M and G or nearest neighbor distance) and creates publication quality plots for spatial organization of the cells in each tissue sample. The iTIME web application allows users to statistically compare the abundance measures with patient clinical features along with visualization of the TIME for one tissue sample at a time. AVAILABILITY AND IMPLEMENTATION: spatialTIME is implemented in R and can be downloaded from GitHub (https://github.com/FridleyLab/spatialTIME) or CRAN. An extensive vignette for using spatialTIME can also be found at https://cran.r-project.org/web/packages/spatialTIME/index.html. iTIME is implemented within a R Shiny application and can be accessed online (http://itime.moffitt.org/), with code available on GitHub (https://github.com/FridleyLab/iTIME). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Impact of the HOP-UP-PT program on older adults at risk to fall: a randomized controlled trial.

BACKGROUND: Reduced falls and fall risks have been observed among older adults referred to the HOP-UP-PT (Home-based Older Persons Upstreaming Prevention-Physical Therapy) program. The purpose of this study was to describe outcomes of HOP-UP-PT program participants and then to compare these outcomes to non-participants. METHODS: Six Michigan senior centers referred adults ≥65 years who were at-risk for functional decline or falls. 144 participants (n = 72 per group) were randomized to either the experimental group (EG) or the control group (CG). Physical therapists (PTs) delivered physical, environmental, and health interventions to the EG over nine encounters (six in-person, three telerehabilitation) spanning seven months. The CG participants were told to continue their usual physical activity routines during the same time frame. Baseline and re-assessments were conducted at 0-, 3-, and 7-months in both groups. Descriptions and comparisons from each assessment encounter were analyzed. RESULTS: Participants ages were: EG = 76.6 (7.0) years and CG = 77.2 (8.2). Baseline measures were not significantly different apart from the Short Physical Performance Battery (SPPB) which favored the EG (P = 0.02). While no significant differences were identified in the survey outcomes or home environment assessments, significant differences in favor of the EG were identified in common fall risk indicators including the Timed Up and Go (P = 0.04), Four Test Balance Scale (P = 0.01), and the modified SPPB (P = 0.02) at the 3-month assessment visit. However, these differences were not sustained at the 7-month assessment as, notably, both groups demonstrated positive improvements in the Four Test Balance Score and SPPB. For individuals at a moderate/high fall risk at baseline, 47.8% of CG reported falling at seven months; whereas, only 6.3% of EG participants meeting the same criteria reported a fall after HOP-UP-PT participation. CONCLUSIONS: A prevention-focused multimodal program provided by PTs in older adults' homes proved beneficial and those with the highest fall risk demonstrated a significant decrease in falls. A collaboration between PTs and community senior centers resulted in upstreaming care delivery that may reduce both the financial and personal burdens associated with falls in an older adult population. TRIAL REGISTRATION: This study was retrospective registered at Clinical Trials.gov , TRN: NCT04814459 on 24/03/2021.

Multiple-kernel learning for genomic data mining and prediction.

BACKGROUND: Advances in medical technology have allowed for customized prognosis, diagnosis, and treatment regimens that utilize multiple heterogeneous data sources. Multiple kernel learning (MKL) is well suited for the integration of multiple high throughput data sources. MKL remains to be under-utilized by genomic researchers partly due to the lack of unified guidelines for its use, and benchmark genomic datasets. RESULTS: We provide three implementations of MKL in R. These methods are applied to simulated data to illustrate that MKL can select appropriate models. We also apply MKL to combine clinical information with miRNA gene expression data of ovarian cancer study into a single analysis. Lastly, we show that MKL can identify gene sets that are known to play a role in the prognostic prediction of 15 cancer types using gene expression data from The Cancer Genome Atlas, as well as, identify new gene sets for the future research. CONCLUSION: Multiple kernel learning coupled with modern optimization techniques provides a promising learning tool for building predictive models based on multi-source genomic data. MKL also provides an automated scheme for kernel prioritization and parameter tuning. The methods used in the paper are implemented as an R package called RMKL package, which is freely available for download through CRAN at https://CRAN.R-project.org/package=RMKL .

Vibrio natriegens as a fast-growing host for molecular biology.

A rapidly growing bacterial host would be desirable for a range of routine applications in molecular biology and biotechnology. The bacterium Vibrio natriegens has the fastest growth rate of any known organism, with a reported doubling time of <10 min. We report the development of genetic tools and methods to engineer V. natriegens and demonstrate the advantages of using these engineered strains in common biotech processes.

Introducing a novel mechanism to control heart rate in the ancestral Pacific hagfish.

Although neural modulation of heart rate is well established among chordate animals, the Pacific hagfish (Eptatretus stoutii) lacks any cardiac innervation, yet it can increase its heart rate from the steady, depressed heart rate seen in prolonged anoxia to almost double its normal normoxic heart rate, an almost fourfold overall change during the 1-h recovery from anoxia. The present study sought mechanistic explanations for these regulatory changes in heart rate. We provide evidence for a bicarbonate-activated, soluble adenylyl cyclase (sAC)-dependent mechanism to control heart rate, a mechanism never previously implicated in chordate cardiac control.

The beat goes on: Cardiac pacemaking in extreme conditions.

In order for an animal to survive, the heart beat must go on in all environmental conditions, or at least restart its beat. This review is about maintaining a rhythmic heartbeat under the extreme conditions of anoxia (or very severe hypoxia) and high temperatures. It starts by considering the primitive versions of the protein channels that are responsible for initiating the heartbeat, HCN channels, divulging recent findings from the ancestral craniate, the Pacific hagfish (Eptatretus stoutii). It then explores how a heartbeat can maintain a rhythm, albeit slower, for hours without any oxygen, and sometimes without autonomic innervation. It closes with a discussion of recent work on fishes, where the cardiac rhythm can become arrhythmic when a fish experiences extreme heat.

Outcomes of Home Emergency Physical Readiness Education for Older Adults.

Emergency preparedness initiatives are a Medicare condition of participation in home healthcare, yet limited evidence on the impact of associated programming is available. The purpose of this exploratory pilot study was to examine the outcomes of an individualized emergency preparedness educational program provided by a physical therapist (PT) in the homes of older adults. The investigators recruited older adults (n = 30) using convenience sampling. An emergency preparedness education module was developed. Demographics, functional and environmental outcome measures, a pre- and post-education confidence survey, and learning outcomes were ascertained and analyzed. Participants reported being female (n = 23), 70 to 79 years (n = 15), and 19 individuals reported 35 different lifetime emergency events. Hearing and vision impairments, inability to change a battery or navigate stairs, and environmental deficits including clutter and poor lighting were identified. Closing bedroom doors at nighttime, functioning carbon monoxide and smoke detectors, creating an evacuation plan, and assembling first aid kits were learning outcomes. Trends toward increased confidence were identified, with statistically significant improvements in the ability to respond to a fire (P = .01), a heat wave (P = .03), and to crawl on hands and knees (P = .05) identified. This study provides emerging evidence that PTs have a role in improving an older adult's confidence to prepare for and respond to an emergency event.

Safe Fall Recovery Education for Older Adults.

High fall rates among older adults in combination with prolonged time on the floor after a fall have created an urgent need to preventatively address fall recovery strategies. The purpose of this study is to describe the outcomes of a novel safe fall recovery (SFR) educational module provided by physical therapists to older adults in their homes. A pre- and post-test descriptive study used a convenience sample to recruit 30 adults (≥65 years). A baseline assessment and SFR in-home education were provided. Pre- and post-education measures included the Steps for Safe Fall Recovery (Steps for SFR) tool, the Activity Specific Balance Confidence (ABC) scale, and a fall confidence survey. The Wilcoxon matched-pairs signed-rank test determined significance (P < .05). Participants were age 77.2 (6.8) years and 20 females. Eight reported a fall during the prior year. Statistically significant improvements were identified in the Steps to SFR tool (P = .001), the ABC scale (P = .004), and the fall recovery confidence survey (P = .001). Integration of an SFR educational intervention delivered to an older adult population in their home demonstrated improved safety and confidence to recover from a fall.

Identification of core competencies for exercise oncology professionals: A Delphi study of United States and Australian participants.

INTRODUCTION: Integration of exercise into standard oncology care requires a highly skilled workforce of exercise professionals; however, competency requirements have not kept pace with advancements in the field. Therefore, the aim of this study was to obtain consensus on core competencies required for an exercise professional to be qualified to work with adults undergoing active cancer treatment. MATERIALS AND METHODS: A three-round modified electronic Delphi process was used. In Round 1, an international group of 64 exercise oncology stakeholders (i.e., exercise oncology professionals (n = 29), clinical referrers (n = 21), and people with lived experience (n = 14)) responded to open-ended prompts eliciting perspectives regarding competencies needed for an exercise oncology professional to work with adults receiving active cancer treatment. Subsequently, only exercise oncology professionals participated, ranking the importance of competencies. In Round 2, professionals received summary feedback, ranked new competencies generated from open-ended responses, and reranked competencies not reaching consensus. In the final round, professionals finalized consensus ranking and rated frequency and mastery level for each. RESULTS: Consensus was reached on 103 core competencies required for exercise professionals to be qualified to deliver care to adults undergoing active cancer treatment. The core competencies represent 10 content areas and reflect the needs of clinical referrers and people with lived experience of receiving cancer treatment. CONCLUSIONS: The core competencies identified reflect significant advancements in the field of exercise oncology. Results will underpin the development of education, certification, and employment requirements for exercise oncology professionals, providing a critical step toward achieving routine integration of exercise into standard oncology care.

Quantum simulation of the bosonic Kitaev chain.

Superconducting quantum circuits are a natural platform for quantum simulations of a wide variety of important lattice models describing topological phenomena, spanning condensed matter and high-energy physics. One such model is the bosonic analog of the well-known fermionic Kitaev chain, a 1D tight-binding model with both nearest-neighbor hopping and pairing terms. Despite being fully Hermitian, the bosonic Kitaev chain exhibits a number of striking features associated with non-Hermitian systems, including chiral transport and a dramatic sensitivity to boundary conditions known as the non-Hermitian skin effect. Here, using a multimode superconducting parametric cavity, we implement the bosonic Kitaev chain in synthetic dimensions. The lattice sites are mapped to frequency modes of the cavity, and the in situ tunable complex hopping and pairing terms are created by parametric pumping at the mode-difference and mode-sum frequencies, respectively. We experimentally demonstrate important precursors of nontrivial topology and the non-Hermitian skin effect in the bosonic Kitaev chain, including chiral transport, quadrature wavefunction localization, and sensitivity to boundary conditions. Our experiment is an important first step towards exploring genuine many-body non-Hermitian quantum dynamics.

Neurological Effects of Repeated Blast Exposure in Special Operations Personnel.

Exposure to blast overpressure has been a pervasive feature of combat-related injuries. Studies exploring the neurological correlates of repeated low-level blast exposure in career "breachers" demonstrated higher levels of tumor necrosis factor alpha (TNFα) and interleukin (IL)-6 and decreases in IL-10 within brain-derived extracellular vesicles (BDEVs). The current pilot study was initiated in partnership with the U.S. Special Operations Command (USSOCOM) to explore whether neuroinflammation is seen within special operators with prior blast exposure. Data were analyzed from 18 service members (SMs), inclusive of 9 blast-exposed special operators with an extensive career history of repeated blast exposures and 9 controls matched by age and duration of service. Neuroinflammation was assessed utilizing positron emission tomography (PET) imaging with [18F]DPA-714. Serum was acquired to assess inflammatory biomarkers within whole serum and BDEVs. The Blast Exposure Threshold Survey (BETS) was acquired to determine blast history. Both self-report and neurocognitive measures were acquired to assess cognition. Similarity-driven Multi-view Linear Reconstruction (SiMLR) was used for joint analysis of acquired data. Analysis of BDEVs indicated significant positive associations with a generalized blast exposure value (GBEV) derived from the BETS. SiMLR-based analyses of neuroimaging demonstrated exposure-related relationships between GBEV, PET-neuroinflammation, cortical thickness, and volume loss within special operators. Affected brain networks included regions associated with memory retrieval and executive functioning, as well as visual and heteromodal processing. Post hoc assessments of cognitive measures failed to demonstrate significant associations with GBEV. This emerging evidence suggests neuroinflammation may be a key feature of the brain response to blast exposure over a career in operational personnel. The common thread of neuroinflammation observed in blast-exposed populations requires further study.

Phylogeny and effects of anoxia on hyperpolarization-activated cyclic nucleotide-gated channel gene expression in the heart of a primitive chordate, the Pacific hagfish (Eptatretus stoutii).

The aneural heart of the Pacific hagfish, Eptatretus stoutii, varies heart rate fourfold during recovery from anoxia. Hyperpolarization-activated cyclic nucleotide-gated (HCN) channels, which play an important role in establishing the pacemaker rate of vertebrate hearts, were postulated to be present in this ancestral vertebrate heart, and it was also theorized that changes in hagfish heart rate with oxygen availability involved altered HCN expression. Partial gene cloning revealed six HCN isoforms in the hagfish heart. Hagfish representatives of HCN2, HCN3 and HCN4 were discovered, with HCN2 and HCN3 existing as isoforms designated as HCN2a, HCN2b, HCN3a, two paralogs of HCN3b, and HCN3c. Phylogenetic analysis revealed HCN3b and HCN3c to be ancestral, followed by HCN3a, HCN4 and HCN2. Moreover, HCN3a expression was dominant in both the atrial and ventricular chambers, suggesting that the HCN4 dominance in adult mammalian hearts appeared after hagfish divergence. HCN expression was higher in the atrium than in the ventricle, as might be expected given that atrial beating rate is known to be faster than the ventricular rate. In addition, mRNA expression under normoxic conditions was compared with that following 24 h of anoxia, and either a 2-h or 36-h recovery in normoxic water. In the ventricle, anoxia decreased HCN3a but not HCN4 expression. In contrast, atrial HCN3a expression significantly increased following 2 h of recovery, before returning to control levels following 36 h of recovery, possibly contributing to heart rate changes previously observed under these conditions.

Pharmacological characterization of the heartbeat in an extant vertebrate ancestor, the Pacific hagfish, Eptatretus stoutii.

Pharmacological ion-channel blockers were used to investigate the spontaneous heart rates in Pacific hagfish, Eptatretus stoutii. Zatebradine, a hyperpolarization-activated cyclic nucleotide-gated (HCN) channel blocker, vastly reduced atrial and ventricular contraction rates in a similar concentration-dependent manner, indicating a major role for HCN in setting intrinsic heart rate. When voltage-gated Na(+) channels were blocked with tetrodotoxin (TTX), atrial contraction rate declined in a dose-dependent manner, but remained faster than ventricular rate even at very high TTX concentrations. This TTX resistance compared with other fish suggests an important role for a TTX-sensitive inactivation-resistant Na(+) current in atrioventricular conduction and chamber synchrony, and a lesser role in setting intrinsic heart rate. T and L-type calcium channel blockers, nickel and nifedipine respectively, also reduced atrial and ventricular contraction rates, nickel having a larger effect on the atrium. These novel results for hagfish are consistent with intrinsic atrial and ventricular rates being set mostly by HCN, with lesser contributions from other ion channels. We suggest that future electrophysiological studies will reveal that hagfishes, with their ancestral position in the evolution of the vertebrate-type chambered heart, share some but not all features of vertebrate intrinsic heart rate control.

Statistics and Machine Learning in Mass Spectrometry-Based Metabolomics Analysis.

In this chapter, we review the cutting-edge statistical and machine learning methods for missing value imputation, normalization, and downstream analyses in mass spectrometry metabolomics studies, with illustration by example datasets. The missing peak recovery includes simple imputation by zero or limit of detection, regression-based or distribution-based imputation, and prediction by random forest. The batch effect can be removed by data-driven methods, internal standard-based, and quality control sample-based normalization. We also summarize different types of statistical analysis for metabolomics and clinical outcomes, such as inference on metabolic biomarkers, clustering of metabolomic profiles, metabolite module building, and integrative analysis with transcriptome.

Evaluation of a Physical Therapist-Delivered Technology Literacy Algorithm and Protocol for Older Adults: A Pilot Study.

Introduction Technology literacy is the ability to comfortably understand, use, and navigate digital devices. It is considered a "super social determinant of health", and yet 39% of adults aged 65+ report not using a smartphone, and 25% of seniors still lack internet access. The purpose of this study was to examine the applicability of a physical therapist-delivered clinical assessment tool related to technological literacy and to identify relationships between technology utilization and perceptions related to sociodemographic factors in community-dwelling older adults. Methods A prospective mixed-methods observational-descriptive study where physical therapists (PTs) administered a newly designed technology literacy algorithm to older adults and evaluated the results of the algorithm. A convenience sample of 30 participants aged 65 and older was evaluated for their technology literacy. The exclusion criteria were if the person had a vision deficit, lived in a nursing home or extended care facility, was unable to fluently read and understand the English language, or was not willing to have an in-home visit by a licensed PT. After informed consent was obtained, the participant completed a Past Experience with Technology Questionnaire assessing participant confidence with technology usage and a demographic questionnaire. A PT data collector visited participants' homes and administered a novel technology literacy algorithm. The PTs also provided subjective feedback after patient visits as to their perceptions of the algorithm. Inferential statistics were performed for key variables, including a Kruskal-Wallis test being utilized for variables with three or more levels and a two-sample Wilcoxon test being utilized for variables with two levels. The binary results were evaluated with chi-squared tests. Trends in distribution and measures of central tendency were analyzed for demographic data. Statistical significance was set at P<0.05 with a confidence interval of 95%. Results Participants (n=30) were evenly distributed with regard to age, and 66% of people had a college degree. Most were female, of the white race, and retired. There were statistically significant relationships between older age and decreased comfort level with using the internet (P=0.30) and sending messages (P=0.31), with individuals 80+ years old having a mean confidence of 6.78 out of 10. A statistically significant relationship was also found between higher income and increased confidence in browsing the internet (P = 0.07). Most qualitative data from physical therapist experiences included positive trends such as ease of use, efficiency, and confidence instilled. Constructive feedback included a lack of resources to assist with more advanced technology-related needs and recommendations to refine the algorithm when advanced needs were identified. Conclusion Technology literacy is a vital component of accessing health and medical care and maximizing the quality of that care, especially in the older adult population. The tools created may assist clinicians with identifying and addressing issues related to technology in older adults. This may help a patient navigate health issues that require the use of technology in their home. This study provided evidence that a PT-administered algorithm may be feasible to address technology literacy issues in the homes of older adults.

Medical Clearance of Older Adults Participating in Preventative Direct Access Physical Therapy.

Background The purpose of this study was to determine if the use of evidence-based cognitive and cardiovascular screening prior to initiating a prevention-focused exercise program that utilizes a physical therapist (PT) direct consumer access referral model is safe. Methods A retrospective descriptive analysis of data from a prior randomized controlled trial (RCT) was performed. Two data sets emerged: Group S was screened for study inclusion but not enrolled, and Group E was enrolled and participated in preventative exercise. Participant outcomes of cognitive screenings (Mini-Cog, Trail Making Test-Part B) and cardiovascular screening (American College of Sports Medicine Exercise Pre-participation Health Screening) were extracted. Descriptive statistics were generated for demographic and outcome variables and inferential statistics were analyzed (p < 0.05). Results Records from 70 individuals (Group S) and 144 individuals (Group E) were available for analysis. Overall, 18.6% (n = 13) in Group S were not enrolled due to medical instability or potential safety considerations. The need for medical clearance prior to initiating an exercise program was identified and then clearance was obtained for 40% (n = 58) of the participants in Group E. No adverse events related to program participation were reported. Conclusions A PT-led program utilizing direct access referrals from senior centers offers a safe option for older adults to participate in individualized preventative exercise programming.

Effect of Robotic Delivery of Physical Activity and Fall Prevention Exercise in Older Adults: A Pilot Cohort Study.

Introduction The high prevalence of falls, lack of stability and balance, and general physical deconditioning are concerning issues for longevity and quality of life for adults aged 65 years and older. Although supervised delivery of the Otago Exercise Program (OEP) has demonstrated evidence of effectiveness in reducing fall risk of older adults, opportunities for ongoing unsupervised exercise performance are warranted. An option to facilitate exercise and performance of health behaviors may be via a social robot. The purpose of this study was to examine feasibility and initial outcomes of a robot-delivered fall prevention exercise program for community-dwelling older adults. Methods Five participants aged 65 years and older were recruited to receive robot-delivered modified OEP and walking program three times per week for four weeks. Outcomes of demographics, self-reported performance measures (Modified Falls Self-Efficacy Scale, Activities-specific Balance Confidence, and Almere Model assessing various constructs of acceptance of use of robotic technology), and physical performance measures (Timed Up and Go Test, Short Physical Performance Battery, Balance Tracking System [BTrackS] center of pressure sway) were collected. Data were analyzed descriptively and examined for trends in change. Measures of central tendency and distribution were used according to the distribution of the data. Results The mean age of the participants was 75 years (range: 66-83 years; four females and one male). The range of participant exercise session completion was 7-12 (mode=11, n=3). Constructs on the Almere Model that started and remained positive were Attitudes Toward Technology and Perceived Enjoyment with the robot. Anxiety improved from 3.80 to 4.68, while Social Presence of the robot improved from 2.80 to 3.56. The construct of Trust was somewhat negative among participants upon commencing the program and did not substantially change over time. Two participants improved their confidence on the Activities-specific Balance Confidence scale by more than 10%, while all participants showed some improvement in confidence in their balance. Mixed results were found with the Modified Falls Self-Efficacy Scale. Mean gait speed for the participants improved by 0.76 seconds over 3 meters. Improvement was also demonstrated for the Short Physical Performance Battery, with two participants improving scores by 2-3 points out of 12. No appreciable changes were found with the Timed Up and Go test and the BTrackS assessment. Conclusion Using a robot-led exercise program is an accessible and feasible way to deliver exercise to community-dwelling older adults in the home, but some technical constraints remain. Outcomes suggest that a four-week program is sufficient to elicit some positive trends in health outcomes and has the potential to reduce fall risk.

Looking back: a review of policy implications for exercise oncology.

The evidence to support the benefits of exercise for people living with and beyond cancer is robust. Still, exercise oncology interventions in the United States are only eligible for coverage by third-party payers within the restrictions of cancer rehabilitation settings. Without expanded coverage, access will remain highly inequitable, tending toward the most well-resourced. This article describes the pathway to third-party coverage for 3 programs that address a chronic disease and utilize exercise professionals: the Diabetes Prevention Program, Supervised Exercise Training for Peripheral Artery Disease, and Cancer Rehabilitation. Lessons learned will be applied toward expanding third-party coverage for exercise oncology programming.