Results 81 to 90 of about 271,086 (294)

Resting-state “Physiological Networks” [PDF]

, 2019
Abstract Slow changes in systemic brain physiology can elicit large fluctuations in fMRI time series, which may manifest as structured spatial patterns of temporal correlations between distant brain regions. These correlations can appear similar to large-scale networks typically attributed to coupled neuronal activity.
Chen, Jingyuan E., Lewis, Laura D., Chang, Catie, Fultz, Nina E., Ohringer, Ned A., Rosen, Bruce R., Polimeni, Jonathan R.   +6 more
openaire   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Evaluating sleep quality in a non-intrusive manner using contactless ballistocardiography and audio signals through a LSTM-TCN machine learning model

Frontiers in Network Physiology
BackgroundNon-intrusive sleep detection devices are increasingly sought after because conventional sleep studies require multiple body-attached sensors, which are uncomfortable and impractical for routine use.
Dominic Jaworski, Dominic Jaworski, Tae-Ho Kim, Bohyung Choi, Edward J. Park, Edward J. Park   +5 more
doaj   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

The human microbiota: The importance and relevance of its incorporation into anatomy and physiology curricula

, 2015
In recent years, information on the diversity and abundance of microorganisms associated with the human body has significantly expanded. Recent research on the microbiota reveals its importance in the maintenance of normal host physiology and particular ...

core   +1 more source

The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers

Molecular Oncology, EarlyView.
The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce, Simone Bini, Marialuisa Sponziello, Giorgio Grani, Giulia Fiscon, Paola Paci, Lorenzo Farina, Rosa Falcone, Valentina Maggisano, Sebastiano Filetti, Cosimo Durante, Antonella Verrienti   +11 more
wiley   +1 more source

Physiology Educational Research Consortium

, 1998
The Physiology Educational Research Consortium (PERC) is a collaborative research and development effort among 13 physiologists and physiology educators representing 12 post-secondary institutions, ranging from community colleges to medical schools. PERC

core  

PINNing cerebral blood flow: analysis of perfusion MRI in infants using physics-informed neural networks [PDF]

Arterial spin labelling (ASL) magnetic resonance imaging (MRI) enables cerebral perfusion measurement, which is crucial in detecting and managing neurological issues in infants born prematurely or after perinatal complications.
Chiu, C-E, Galazis, Christoforos, Chiu, Ching En, Galazis, C, Chiu, Ching-En, Varela, Marta, Varela, M, Bharath, Anil A, Bharath, AA, Bharath, Anil A., Arichi, T, Arichi, Tomoki, Arichi, Tomoki; id_orcid   +12 more
core   +1 more source

Combining machine learning and physiological network models for sepsis prediction

Frontiers in Network Physiology
As the most extreme course of an infectious disease, sepsis poses a serious health threat, with a high mortality rate and frequent long-term consequences for survivors.
Juri Backes, Artyom Tsanda, Artyom Tsanda, Tobias Knopp, Tobias Knopp, Tobias Knopp, Wolfgang Renz, Eckehard Schöll, Eckehard Schöll   +8 more
doaj   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source