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[HTML][HTML] Machine learning and artificial intelligence in neuroscience: A primer for researchers
F Badrulhisham, E Pogatzki-Zahn, D Segelcke… - Brain, Behavior, and …, 2024 - Elsevier
Artificial intelligence (AI) is often used to describe the automation of complex tasks that we
would attribute intelligence to. Machine learning (ML) is commonly understood as a set of …
would attribute intelligence to. Machine learning (ML) is commonly understood as a set of …
Mechanisms of action of current pharmacologic options for the treatment of chronic idiopathic constipation and irritable bowel syndrome with constipation
GS Sayuk, SA Waldman… - Official journal of the …, 2022 - journals.lww.com
Multiple therapeutic agents are currently available for the treatment of chronic idiopathic
constipation and irritable bowel syndrome with constipation. A better understanding of the …
constipation and irritable bowel syndrome with constipation. A better understanding of the …
Unsupervised machine learning highlights the challenges of subty** disorders of gut‐brain interaction
Background Unsupervised machine learning describes a collection of powerful techniques
that seek to identify hidden patterns in unlabeled data. These techniques can be broadly …
that seek to identify hidden patterns in unlabeled data. These techniques can be broadly …
Síndrome de intestino irritable (SII): Nuevos conceptos en 2023.
W Otero, L Otero - Medicina, 2022 - revistamedicina.net
El síndrome de intestino irritable, considerado antes como un trastorno funcional, forma
actualmente parte del grupo de los trastornos de la interacción del eje intestino-cerebro …
actualmente parte del grupo de los trastornos de la interacción del eje intestino-cerebro …
Irritable bowel syndrome–controversies in diagnosis and management
K Duncanson, D Tikhe, GM Williams… - Expert Review of …, 2023 - Taylor & Francis
Introduction The irritable bowel syndrome (IBS) is the best-recognized disorder of gut brain
interactions (DGBI). However, it is controversial if the Rome IV criteria iteration for IBS …
interactions (DGBI). However, it is controversial if the Rome IV criteria iteration for IBS …
Brain tumour genetic network signatures of survival
Tumour heterogeneity is increasingly recognized as a major obstacle to therapeutic success
across neuro-oncology. Gliomas are characterized by distinct combinations of genetic and …
across neuro-oncology. Gliomas are characterized by distinct combinations of genetic and …
Sleep deficiency is associated with exacerbation of symptoms and impairment of anorectal and autonomic functions in patients with functional constipation
Objective Sleep deficiency (SD) is commonly seen in patients with functional constipation
(FC). Our aim was to determine whether the presence of SD would influence symptoms …
(FC). Our aim was to determine whether the presence of SD would influence symptoms …
Rectal hyposensitivity: A common pathophysiological finding in patients with constipation and associated hypermobile Ehlers–Danlos syndrome
Summary Background and Aims To evaluate symptom presentation and underlying
pathophysiology of colonic/anorectal dysfunction in females with functional constipation (FC) …
pathophysiology of colonic/anorectal dysfunction in females with functional constipation (FC) …
[HTML][HTML] The impact of artificial intelligence algorithms on management of patients with irritable bowel syndrome: A systematic review
Abstract Introduction Distinguishing Irritable Bowel Syndrome (IBS) from other diseases is
one of the most difficult tasks for gastroenterologists. Because IBS symptoms overlap with …
one of the most difficult tasks for gastroenterologists. Because IBS symptoms overlap with …
[HTML][HTML] Moving beyond Symptom Criteria to Diagnose and Treat Functional Disorders: Patient-Reported Symptoms of Functional Lower Gastrointestinal Disorders …
C Brick, H Su, K Taylor, R Burgell - Journal of Clinical Medicine, 2024 - mdpi.com
Background/Objectives: The diagnosis of lower functional gastrointestinal disorders (FGIDs)
is currently based on subjective and unreliable patient-reported symptoms, with significant …
is currently based on subjective and unreliable patient-reported symptoms, with significant …