Results 31 to 40 of about 1,024,738 (75)
Towards Personalized Modeling of the Female Hormonal Cycle: Experiments with Mechanistic Models and Gaussian Processes [PDF]
arXiv, 2017 In this paper, we introduce a novel task for machine learning in healthcare, namely personalized modeling of the female hormonal cycle. The motivation for this work is to model the hormonal cycle and predict its phases in time, both for healthy individuals and for those with disorders of the reproductive system. Because there are individual differences
arxiv
Generalized-Ensemble Simulations of the Human Parathyroid Hormone Fragment PTH(1-34) [PDF]
, 2003 A generalized-ensemble technique, multicanonical sampling, is used to study the folding of a 34-residue human parathyroid hormone fragment. An all-atom model of the peptide is employed and the protein-solvent interactions are approximated by an implicit solvent. Our results demonstrate that generalized-ensemble simulations are well suited to sample low-
arxiv +1 more source
Palbociclib in Hormone-Receptor-Positive Advanced Breast Cancer.
New England Journal of Medicine, 2015 BACKGROUND Growth of hormone-receptor-positive breast cancer is dependent on cyclin-dependent kinases 4 and 6 (CDK4 and CDK6), which promote progression from the G1 phase to the S phase of the cell cycle.
N. Turner +13 more
semanticscholar +1 more source
Systems of Delay Differential Equations: Analysis of a model with feedback [PDF]
arXiv, 2016 Self-regulatory models are common in nature, as described e.g. in (\cite{mur}), (\cite{ha}) and (\cite{Gb}).\\ Let us consider a system made up of a number of glands as a motivation. Each gland secretes a hormone that allows secretion in the {next} gland, which successively generates another hormone to stimulate the next one and so on.
arxiv
A Dual-Hormone Closed-Loop Delivery System for Type 1 Diabetes Using Deep Reinforcement Learning [PDF]
arXiv, 2019 We propose a dual-hormone delivery strategy by exploiting deep reinforcement learning (RL) for people with Type 1 Diabetes (T1D). Specifically, double dilated recurrent neural networks (RNN) are used to learn the hormone delivery strategy, trained by a variant of Q-learning, whose inputs are raw data of glucose \& meal carbohydrate and outputs are dual-
arxiv
Local and global analysis of endocrine regulation as a non-cyclic feedback system [PDF]
, 2016 To understand the sophisticated control mechanisms of the human's endocrine system is a challenging task that is a crucial step towards precise medical treatment of many disfunctions and diseases. Although mathematical models describing the endocrine system as a whole are still elusive, recently some substantial progress has been made in analyzing ...
arxiv +1 more source
Evolution of Hormone Signaling Networks in Plant Defense.
Annual Review of Phytopathology, 2017 Studies with model plants such as Arabidopsis thaliana have revealed that phytohormones are central regulators of plant defense. The intricate network of phytohormone signaling pathways enables plants to activate appropriate and effective defense ...
Matthias L Berens +4 more
semanticscholar +1 more source
Journal of Clinical Oncology, 2016 PURPOSE To develop recommendations about endocrine therapy for women with hormone receptor (HR) -positive metastatic breast cancer (MBC). METHODS The American Society of Clinical Oncology convened an Expert Panel to conduct a systematic review of ...
H. Rugo +15 more
semanticscholar +1 more source
Utilizing of protein splicing phenomenon for optimization of obtaining and purification of the recombinant human growth hormone [PDF]
Europ J Medic Res., 2006, Oct. 8, vol.11 - p. 128-129, 2006 Protein splicing is a post-translational autocatalystic excision of internal protein sequence (intein) with the subsequent ligation of the flanking polypeptides (exteins). The high specificity of excision ensured by intein makes it possible to use a phenomenon of protein splicing for the biotechnology purposes.
arxiv
Plant hormone regulation of abiotic stress responses
Nature reviews. Molecular cell biology, 2022 Rainer Waadt +5 more
semanticscholar +1 more source