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Study protocol: multi-parametric magnetic resonance imaging for therapeutic response prediction in rectal cancer

Trang Thanh Pham, Gary Liney, Karen Wong, Robba Rai, Mark Lee, Daniel Moses, Christopher Henderson, Michael Lin, Joo-Shik Shin, Michael Bernard Barton
2017 BMC Cancer  
Accurate imaging prediction of patients with a complete response to CRT would enable a 'watch and wait' approach, avoiding surgical morbidity in these patients.  ...  Patients with locally advanced rectal cancer undergoing preoperative CRT will prospectively undergo multi-parametric MRI pre-CRT, week 3 CRT, and post-CRT.  ...  RANZCR was not involved in the design of this study protocol and will not be involved in data collection or analysis. Availability of data and materials Not applicable.  ... 
doi:10.1186/s12885-017-3449-4 pmid:28676107 pmcid:PMC5496240 fatcat:jfzmidgfvfblnb44aapzbefs5i

Realising stratified psychiatry using multidimensional signatures and trajectories

Dan W. Joyce, Angie A. Kehagia, Derek K. Tracy, Jessica Proctor, Sukhwinder S. Shergill
2017 Journal of Translational Medicine  
We demonstrate this framework by application to the Clinical Antipsychotic Trials of Intervention Effectiveness dataset, showing heterogeneity in both patient clinical states and their trajectories after  ...  state, and second, the similar redefinition of outcomes as multidimensional constructs that can expose within-and between-patient differences in response.  ...  Acknowledgements The authors gratefully acknowledge data used in the preparation of this article that resides in the NIH-supported NIMH Data Repositories.  ... 
doi:10.1186/s12967-016-1116-1 pmid:28100276 pmcid:PMC5241978 fatcat:bflz4pfc4ffcfjf7zyqs5mncwm

Health Informatics via Machine Learning for the Clinical Management of Patients

D. A. Clifton, K. E. Niehaus, P. Charlton, G. W. Colopy
2015 IMIA Yearbook of Medical Informatics  
Objectives: To review how health informatics systems based on machine learning methods have impacted the clinical management of patients, by affecting clinical practice.  ...  We show that substantial progress is being made in terms of methodology, often by data scientists working in close collaboration with clinical groups.  ...  Using hierarchical clustering, they found three distinct patient trajectories, corresponding to a group of patients characterised by seizures, a group by multisystem disorders, and a group by psychiatric  ... 
doi:10.15265/iy-2015-014 pmid:26293849 pmcid:PMC4587065 fatcat:rhk7tf3eavhzlklht665qb3imq

Enhancing Provider Knowledge and Patient Screening for Palliative Care Needs in Chronic Multimorbid Patients Receiving Home-Based Primary Care

Tracy Wharton, Erika Manu, Caroline A. Vitale
2013 The American Journal of Hospice and Palliative Medicine  
This paper describes a pilot model to increase palliative care knowledge and collaboration among providers, and to systematically identify chronic multi-morbid homecare patients who would benefit from  ...  PPS implementation added little burden on nurses, and triggered a discussion in 51 flagged patients. The tool successfully identified 75% of patients who died or were discharged.  ...  based, multi-morbid patient population is needed.  ... 
doi:10.1177/1049909113514475 pmid:24280188 pmcid:PMC4032811 fatcat:5kwouzgml5divgk2dqmnrabmv4

Association of Multimorbidity With Frailty in Older Adults for Elective Non-Cardiac Surgery

Phui Sze Angie Au Yong, Eileen Yi Lin Sim, Collin Yih Xian Ho, Yingke He, Charlene Xian Wen Kwa, Li Ming Teo, Hairil Rizal Abdullah
2021 Cureus  
The presence of multi-morbidity was significantly associated with frailty, with overall increasing strength of association.  ...  Demographics and comorbidities were analysed for their association with frailty according to the Edmonton Frail Scale. Results A total of 1396 out of 1398 patients were analyzed.  ...  Out of 1271 (12%) frail patients, 868 (6%) had multi-morbidity. These 868 patients with both multi-morbidity and frailty comprised 42% of those who had multi-morbidity.  ... 
doi:10.7759/cureus.15033 pmid:34150384 pmcid:PMC8200322 fatcat:vg4eiwgthjcbrlpk3ohxokvj2e

Augmenting Surgery via Multi-scale Modeling and Translational Systems Biology in the Era of Precision Medicine: A Multidisciplinary Perspective

Ghassan S. Kassab, Gary An, Edward A. Sander, Michael I. Miga, Julius M. Guccione, Songbai Ji, Yoram Vodovotz
2016 Annals of Biomedical Engineering  
Before the case: Patient-specific, computationally-enabled surgical planning and enhanced device design Surgical planning is key to optimize patient care and outcomes in the surgical setting 2, 3, 21,  ...  Multiscale computational modeling has the potential to bridge the gap to the emerging paradigms of Precision Medicine and Translational Systems Biology, in which quantitative metrics and data guide patient  ...  Acknowledgments YV would like to acknowledge funding by the National Institutes of Health (grants P50-GM-5378, UO1-  ... 
doi:10.1007/s10439-016-1596-4 pmid:27015816 pmcid:PMC4983470 fatcat:clpcd2kigzedrpfi4xhvq7xhce

Overcoming Therapeutic Inertia to Reduce the Risk of COPD Exacerbations: Four Action Points for Healthcare Professionals

Dave Singh, Steve Holmes, Claire Adams, Mona Bafadhel, John R Hurst
2021 International Journal of COPD  
Follow-up by a GP, or member of the multi-professional specialist COPD team within one month of discharge with a full management review and appropriate escalation of pharmacological treatment is essential  ...  The four action points were (1) an experienced HCP, such as a GP or member of the multi-professional COPD team should review patients within one month of every exacerbation that requires oral steroids,  ...  Acknowledgments ENGINE MHP, provided medical writing assistance and provided a 'secretariat' role to the multidisciplinary National Working group, both funded by AstraZeneca, which reviewed the manuscript  ... 
doi:10.2147/copd.s329316 pmid:34754186 pmcid:PMC8570921 fatcat:m2jtxjsej5extcrem323erke7u

Superensemble forecast of respiratory syncytial virus outbreaks at national, regional, and state levels in the United States

Julia Reis, Teresa Yamana, Sasikiran Kandula, Jeffrey Shaman
2018 Epidemics  
Such finer scale superensemble forecasts may be more relevant for effecting local-scale interventions, particularly in communities with a high burden of RSV infection.  ...  Previously, we developed and validated an RSV forecast system at the regional scale in the United States.  ...  Materials For each spatial scale, we used specimen laboratory RSV tests collected through the National Respiratory and Enteric Virus Surveillance System (NREVSS) and disseminated by Acknowledgments We  ... 
doi:10.1016/j.epidem.2018.07.001 pmid:30025885 pmcid:PMC7643169 fatcat:hnbie4thdnd7rfg6zhytlhmkma

Pattern Detection on Glioblastoma's Waddington landscape via Generative Adversarial Networks [article]

Abicumaran Uthamacumaran
2021 arXiv   pre-print
Identifying causal patterns in the developmental trajectories between GSCs and the mature, well-differentiated GBM phenotypes remains a challenging problem in oncology.  ...  Here I show, a Rossler-like strange attractor with a fractal dimension of roughly 1.7 emerged in the GAN-reconstructed patterns of all twelve patients.  ...  feedback loops, recursion, fractal structures, pattern formation, computational irreducibility, multi-scale information flow, criticality, long-term unpredictability, non-locality, and undecidability  ... 
arXiv:2107.04036v3 fatcat:feasvhmbtbazbnjvjqibidf3hq

Frailty, a Dimension of Impaired Functional Status in Advanced COPD: Utility and Clinical Applicability

Sabina Antonela Antoniu, Lucian Vasile Boiculese, Virgiliu Prunoiu
2021 Medicina  
Conclusions: Frailty assessment in COPD patients is becoming a relevant issue not only for its potential prognostic value for increased morbidity or for mortality, but also for its potential role as a  ...  Results: Data on the prognostic role of frailty in COPD are rather limited, but individual data on traits of frailty demonstrating their relationship with mortality and morbidity in advanced COPD are available  ...  The patients and controls were similar in age, body mass index, and sex proportions.  ... 
doi:10.3390/medicina57050474 pmid:34064756 pmcid:PMC8150879 fatcat:2pveibbxbjfvbcnrtdcejqgjki

Evaluating an integrated care pathway for frail elderly patients in Norway using multi-criteria decision analysis

M. Kamrul Islam, Sabine Ruths, Kristian Jansen, Runa Falck, Maureen Rutten-van Mölken, Jan Erik Askildsen
2021 BMC Health Services Research  
In Norway, a new programme called "Holistic Continuity of Patient Care" (HCPC) addresses the issue of multi-morbidity by providing integrated care within learning networks for frail elderly patients who  ...  Conclusion Frail elderly with multi-morbidity represent complex health problems at large costs for society in terms of health- and social care.  ...  Our sincere thanks go to Sigrid Askum and Torun Risnes from Norwegian association of local and regional authorities; Anders Vege from Norwegian Institute of Public Health; Anders Grimsmo from Norwegian  ... 
doi:10.1186/s12913-021-06805-6 pmid:34454494 fatcat:owhob5rdz5c6ldaofb4dlkoyha

Patient Similarity: Emerging Concepts in Systems and Precision Medicine

Sherry-Ann Brown
2016 Frontiers in Physiology  
Joerg Herrmann of Mayo Clinic in Rochester, Minnesota for reading the manuscript.  ...  The N most similar patients to the index patient would be utilized as a training data set for testing in a validation data set, with prediction of prognosis, morbidity, or mortality.  ...  by clinicians and rare disease scientists (Buske et al., 2015a,b) , predicting patients' prognosis or trajectory over time (Ebadollahi et al., 2010; Subirats et al., 2012; Wang et al., 2012; Gallego  ... 
doi:10.3389/fphys.2016.00561 pmid:27932992 pmcid:PMC5121278 fatcat:y32ebaqrfve6pguyjrpkzd64am

Anticipatory Care in Potentially Preventable Hospitalizations: Making Data Sense of Complex Health Journeys

Carmel M. Martin, Joachim P. Sturmberg, Keith Stockman, Narelle Hinkley, Donald Campbell
2019 Frontiers in Public Health  
This allows for possible timely intervention in trajectories in the biopsychosocial dimensions of patients as "particulars" in their unique trajectories.  ...  MonashWatch deployment incorporating PaJR is conducted by Monash Health in its Dandenong urban catchment area, Victoria, Australia.  ...  ACKNOWLEDGMENTS The collaboration in the development, trialing, and evaluation of the PaJR project by our colleagues: the MonashWatch team at Monash Health, Australia; Carl Vogel and Lucy Hederman at Trinity  ... 
doi:10.3389/fpubh.2018.00376 pmid:30746358 pmcid:PMC6360156 fatcat:pbtk52fxqjgxvbnyg2p5dsdmxi

Association of electroencephalogram trajectories during emergence from anaesthesia with delirium in the post-anaesthesia care unit: an early sign of postoperative complications

S. Hesse, M. Kreuzer, D. Hight, A. Gaskell, P. Devari, D. Singh, N.B. Taylor, M.K. Whalin, S. Lee, J.W. Sleigh, P.S. García
2018 British Journal of Anaesthesia  
Postoperative delirium is associated with an increased risk of morbidity and mortality, especially in the elderly.  ...  Delirium in the postanaesthesia care unit (PACU) could predict adverse clinical outcomes.  ...  Portions of this database have been published as case reports, and presented in abstract form at national and international meetings.  ... 
doi:10.1016/j.bja.2018.09.016 pmid:30915984 pmcid:PMC6465086 fatcat:4k7ecinavjcq5g4jzddzobefhu

Physical, cognitive and mental health impacts of COVID-19 following hospitalisation: a multi-centre prospective cohort study [article]

Rachael Andrea Evans, Hamish McAuley, Ewen M Harrison, Aarti Shikotra, Amisha Singapuri, Marco Sereno, Omer Elneima, Annemarie B Docherty, Nazir I Lone, Olivia C Leavy, Luke Daines, J Kenneth Baillie (+35 others)
2021 medRxiv   pre-print
Findings We report findings of 1077 patients discharged in 2020, from the assessment undertaken a median 5 [IQR4 to 6] months later: 36% female, mean age 58 [SD 13] years, 69% white ethnicity, 27% mechanical  ...  Multivariable logistic regression was performed for patient-perceived recovery with age, sex, ethnicity, body mass index (BMI), co-morbidities, and severity of acute illness as co-variates.  ...  Co-morbidities for the cohort stratified by severity of acute illness using the WHO clinical progression scale. Table SR2 .  ... 
doi:10.1101/2021.03.22.21254057 fatcat:cnzmb5mxqjecvojjg76dajm7f4
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