Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Peter Eastman"'
Autor:
Peter Eastman, Pavan Kumar Behara, David L. Dotson, Raimondas Galvelis, John E. Herr, Josh T. Horton, Yuezhi Mao, John D. Chodera, Benjamin P. Pritchard, Yuanqing Wang, Gianni De Fabritiis, Thomas E. Markland
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-11 (2023)
Abstract Machine learning potentials are an important tool for molecular simulation, but their development is held back by a shortage of high quality datasets to train them on. We describe the SPICE dataset, a new quantum chemistry dataset for traini
Externí odkaz:
https://doaj.org/article/777e27c4ba50416380442bf4a396eb72
Publikováno v:
BMC Palliative Care, Vol 18, Iss 1, Pp 1-8 (2019)
Abstract Background The Advanced Lung Disease Service is a unique, new model of integrated respiratory and palliative care, which aims to address the unmet needs of patients with advanced, non-malignant, respiratory diseases. This study aimed to expl
Externí odkaz:
https://doaj.org/article/ec66f29910f24112aaa36d9a13df9314
Autor:
Vanessa C Vaughan BSc (Hons), PhD, Meg Harrison NP, Anna Dowd RN, Peter Eastman BPhty, MBBS, FRACGP, FACHPM, Peter Martin MB, BCH, BAO, FACHPM, MMed
Publikováno v:
Journal of Patient Experience, Vol 8 (2021)
The Barwon Health Cachexia & Nutrition Support Service (CNSS) is an outpatient service focused on improving clinical outcomes and quality of life for patients with or at high risk of cancer cachexia. Patients see a multidisciplinary team, comprising
Externí odkaz:
https://doaj.org/article/77457f7f932e47bfbe3d8c07ffbc95ac
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 6, p e1006176 (2018)
We use reinforcement learning to train an agent for computational RNA design: given a target secondary structure, design a sequence that folds to that structure in silico. Our agent uses a novel graph convolutional architecture allowing a single mode
Externí odkaz:
https://doaj.org/article/84ca18a973b94f29a0e16f8dafe0cbdc
Autor:
Natasha Smallwood, Michelle Thompson, Matthew Warrender-Sparkes, Peter Eastman, Brian Le, Louis Irving, Jennifer Philip
Publikováno v:
ERJ Open Research, Vol 4, Iss 1 (2018)
The unaddressed palliative care needs of patients with advanced, nonmalignant, lung disease highlight the urgent requirement for new models of care. This study describes a new integrated respiratory and palliative care service and examines outcomes f
Externí odkaz:
https://doaj.org/article/c24e1227f05345858200bee46c549868
Autor:
Peter Eastman, Jason Swails, John D Chodera, Robert T McGibbon, Yutong Zhao, Kyle A Beauchamp, Lee-Ping Wang, Andrew C Simmonett, Matthew P Harrigan, Chaya D Stern, Rafal P Wiewiora, Bernard R Brooks, Vijay S Pande
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 7, p e1005659 (2017)
OpenMM is a molecular dynamics simulation toolkit with a unique focus on extensibility. It allows users to easily add new features, including forces with novel functional forms, new integration algorithms, and new simulation protocols. Those features
Externí odkaz:
https://doaj.org/article/a3c536fb0ab14c8bbc0cb33e5bac84f0
Publikováno v:
Annals of Palliative Medicine.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c246d1825d469f93436c032143452593
https://doi.org/10.21037/apm-22-1296
https://doi.org/10.21037/apm-22-1296
Autor:
Peter Eastman, Pavan Kumar Behara, David L. Dotson, Raimondas Galvelis, John E. Herr, Josh T. Horton, Yuezhi Mao, John D. Chodera, Benjamin P. Pritchard, Yuanqing Wang, Gianni De Fabritiis, Thomas E. Markland
Publikováno v:
Scientific data. 10(1)
Machine learning potentials are an important tool for molecular simulation, but their development is held back by a shortage of high quality datasets to train them on. We describe the SPICE dataset, a new quantum chemistry dataset for training potent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e20a406b35e2513d23bc9a04a511ff9
https://pubmed.ncbi.nlm.nih.gov/36599873
https://pubmed.ncbi.nlm.nih.gov/36599873
Publikováno v:
American Journal of Hospice and Palliative Medicine®. 38:472-479
Context: Patients with advanced chronic obstructive pulmonary disease (COPD) can develop increasing breathlessness, which can persist despite optimal medical management—refractory breathlessness. Management can be challenging for all clinicians and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0821db211b029a0f8c1d2c4c614149cf
https://doi.org/10.1177/1049909120959061
https://doi.org/10.1177/1049909120959061
Publikováno v:
Internal Medicine Journal. 50:596-602
BACKGROUND Cancer treatment near end of life is not likely to add meaningful benefit and minimising intervention rates has been promoted as an indicator of quality of care. Population-based analysis of treatment allows comparative analysis of treatme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5d9f866144a2b4496bccb9be1d7f798
https://doi.org/10.1111/imj.14377
https://doi.org/10.1111/imj.14377