Autonomics

With the rapid increase in computer processing capacity over the past two decades, machine learning techniques have been applied in many sectors of daily life. Machine learning in therapeutic settings is also gaining popularity. We analysed current studies on machine learning in robotic urologic surgery. We searched PubMed/Medline and Google Scholar up to December 2023. Search terms included "urologic surgery", "artificial intelligence", "machine learning", "neural network", "automation", and "robotic surgery"...

Traumatic brain injury (TBI) is a chronic and debilitating disease, associated with a high risk of psychiatric and neurodegenerative diseases. Despite significant advancements in improving outcomes, the lack of effective treatments underscore the urgent need for innovative therapeutic strategies. The brain-gut axis has emerged as a crucial bidirectional pathway connecting the brain and the gastrointestinal (GI) system through an intricate network of neuronal, hormonal, and immunological pathways. Four main pathways are primarily implicated in this crosstalk, including the systemic immune system, autonomic and enteric nervous systems, neuroendocrine system, and microbiome...

Programmed cell death (PCD) is a basic process of life that is closely related to the growth, development, aging and disease of organisms and is one of the hotspots of life science research today. PCD is a kind of genetic control, autonomous and orderly important cell death that involves the activation, expression, and regulation of a series of genes. In recent years, with the deepening of research in this field, new mechanisms of multiple PCD pathways have been revealed. This article reviews and summarizes the multiple PCD pathways that have been discovered, analyses and compares the morphological characteristics and biomarkers of different types of PCD, and briefly discusses the role of various types of PCD in the diagnosis and treatment of different diseases, especially malignant tumors...

INTRODUCTION: In the end of life context, patients are often seen as somewhat passive recipients of care provided by health professionals and relatives, with little opportunity to be perceived as autonomous and active agents. Since studies show a very high prevalence of altruistic dispositions in palliative care patients, we strive to investigate the concept of patient altruism in a set of six interdisciplinary studies by considering three settings: (1) in the general palliative context-by studying to what extent patient altruism is associated with essential psychological outcomes of palliative care (subproject 1a), how altruism is understood by patients (subproject 1b) and how altruism expressed by patients is experienced by palliative care nurses (subproject 1c); (2) in two concrete decision-making contexts-advance care planning (subproject 2a) and assisted suicide (subproject 2b); and (3) through verbal and non-verbal patient communication in palliative care settings (subproject 3)...

The mammalian lung completes its last step of development, alveologenesis, to generate sufficient surface area for gas exchange. In this process, multiple cell types that include alveolar epithelial cells, endothelial cells, and fibroblasts undergo coordinated cell proliferation, cell migration and/or contraction, cell shape changes, and cell-cell and cell-matrix interactions to produce the gas exchange unit: the alveolus. Full functioning of alveoli also involves immune cells and the lymphatic and autonomic nervous system...

OBJECTIVE: There has been increasing evidence that patients with adrenal incidentalomas (AI) who have 1 mg dexamethasone suppression test (DST) cortisol levels >0.9 μg/dL may be exposed to the adverse consequences of hypercortisolaemia. We aim to evaluate whether there is a difference in Beck depression inventory-II (BDI-II) and quality of life (QoL) score in AI patients based on the threshold of a DST cortisol level >0.9 μg/dL. METHODS: This case-control study included 42 non-functional AI (NFAI), 53 mild autonomic cortisol secretion (MACS) and 42 healthy controls (HCs)...

BACKGROUND AND AIMS: Acinar to ductal metaplasia (ADM) is crucial in the development of pancreatic ductal adenocarcinoma (PDAC). However, our understanding of the induction and resolution of ADM remains limited. We conducted comparative transcriptome analyses to identify conserved mechanisms of ADM in mouse and human. METHODS: We identified Sox4 among the top upregulated genes. We validated the analysis by RNA in situ hybridization (ISH). We performed experiments in mice with acinar-specific deletion of Sox4 (Ptf1a: CreER; Rosa26-LSL-YFPLSL-YFP ; Sox4fl/fl ) with and without an activating mutation in Kras (KrasLSL-G12D/+ )...

The time course for recovery after anesthesia is poorly described for tricaine methanesulfonate (MS-222). We suggest that the baroreflex and the heart rate variability (HRV) could be used to index the recovery of the autonomic modulation after anesthesia. We analyzed the recovery profile of behavioral and physiological parameters over time to analyze the progression of recovery after anesthesia of American bullfrogs with MS-222. Mean heart rate stabilized after 17 h, whereas the baroreflex efficiency index took 23 h and the baroreflex operating gain, 29 h...

This study examines the fundamental chemical mechanisms responsible for capsaicin's advantageous impact on cancer, specifically investigating its influence on several biological processes such as inflammation in cancer metastasis, apoptosis, angiogenesis, and cellular proliferation. This entity's connections with other signaling pathways, including PI3K/AKT, NF-B, and TRPV channels, which have been linked to tumor growth, are thoroughly examined in this work. This study presents a thorough analysis of preclinical studies and clinical trials investigating the efficacy of capsaicin in treating many forms of cancer, such as breast, prostate, colorectal, pancreatic, and others...

Currently, clinical practice and scientific research mostly revolve around a single disease or system, but the single disease-oriented diagnostic and therapeutic paradigm needs to be revised. This review describes how transcutaneous auricular vagus nerve stimulation (taVNS), a novel noninvasive neuromodulation approach, connects the central and peripheral systems of the body. Through stimulation of the widely distributed vagus nerve from the head to the abdominal cavity, this therapy can improve and treat central system disorders, peripheral system disorders, and central-peripheral comorbidities caused by autonomic dysfunction...

The arise of autonomous ships has necessitated the development of new risk assessment techniques and methods. This study proposes a new framework for navigational risk assessment of remotely controlled Maritime Autonomous Surface Ships (MASS). This framework establishes a set of risk influencing factors affecting safety of navigation of a remotely-controlled MASS. Next, model parameters are defined based on the risk factors, and the model structure is developed using Bayesian Networks. To this end, an extensive literature survey is conducted, enhanced with the domain knowledge elicited from the experts and improved by the experimental data obtained during representative MASS model trials carried out in an inland river...

OBJECTIVE: Patients with COVID-19 who require hospitalization in an intensive care unit, in addition to being at risk of presenting premature death, have higher rates of complications. This study aimed to describe mortality, rehospitalizations, quality of life, and symptoms related to postintensive care syndrome (PICS) and prolonged COVID-19 in patients with COVID-19 discharged from the intensive care unit in hospitals in Argentina. METHODS: A cross-sectional study was conducted in 4 centers in the Autonomous City and province of Buenos Aires as of December 2022...

BACKGROUND AND OBJECTIVES: In cervical cell diagnostics, autonomous screening technology constitutes the foundation of automated diagnostic systems. Currently, numerous deep learning-based classification techniques have been successfully implemented in the analysis of cervical cell images, yielding favorable outcomes. Nevertheless, efficient discrimination of cervical cells continues to be challenging due to large intra-class and small inter-class variations. The key to dealing with this problem is to capture localized informative differences from cervical cell images and to represent discriminative features efficiently...

INTRODUCTION: Tetanus is a rather rare disease in the Western countries thanks to widespread vaccination programs and the availability of prophylactics for patients with tetanus-prone injuries. The few cases that do occur are promptly managed in intensive care units (ICUs). However, tetanus is not so rare in developing countries, where access to a suitable level of care is limited. An unstable political situation can be a significant factor influencing patient outcomes. CASE REPORT: A ten-year-old boy presented at the EMERGENCY hospital in Lashkar-Gah (southern Afghanistan) with generalized tetanus after falling off his bicycle...

OBJECTIVE: In order to comprehensively understand the characteristics of Adaptive Business Intelligence (ABI) in Healthcare, this study is structured to provide insights into the common features and evolving patterns within this domain. Applying the Sheridan's Classification as a framework, we aim to assess the degree of autonomy exhibited by various ABI components. Together, these objectives will contribute to a deeper understanding of ABI implementation and its implications within the Healthcare context...

BACKGROUND: Caregivers are important contributors to the self-care of patients with coronary heart disease (CHD). AIMS: The aims of this study are to describe the development and psychometric properties of the caregiver contribution to self-care of coronary heart disease inventory (CC-SC-CHDI). METHODS: The CC-SC-CHDI was developed from the patient version of the scale, the Self-care of Coronary Heart Disease Inventory (SC-CHDI) and translated into Italian using forward and backward translation...

Primary Raynaud's phenomenon is characterized by episodic, reversible, and disabling vasospasms of the peripheral arteries. In the most severe cases, it can lead to ulceration of the fingers and toes. Neurofascial Vascular Training (NFVT) is a novel therapeutic approach for treating primary Raynaud's phenomenon (PRP). NFVT aims to enhance peripheral circulation and stimulate the autonomic nervous system (ANS) by engaging multiple physiological mechanisms simultaneously. This integrated approach works to reduce vasospasms and alleviate associated symptoms through neurodynamic and myofascial interventions...

Can one design and automate a computational and experimental platform such that each platform iteratively guides and drives the other to achieve a pre-determined goal? Rapp and colleagues (2024) describe just this possibility in a paper that details a prototype of a self-driven laboratory that can navigate autonomously to yield an engineered enzyme with a desired attribute. This laboratory, rather, the automated protocol, is referred to by an acronym - SAMPLE. This refers to Self-driving Autonomous Machines for Protein Landscape Exploration...

OBJECTIVE: To assess the role of nurse-guided maternal interventional package for reducing stress behaviour among preterm neonates admitted in neonatal intensive care unit (NICU). METHODS: A randomized controlled trial was conducted among 100 mothers and their newborns delivered preterm and admitted consecutively in the NICU over 4 months. Mothers in the intervention group (n = 50) received education and demonstration regarding the use of maternal touch, facilitated tucking, kangaroo mother care (KMC), non-nutritive sucking (NNS), nesting and maternal voice alongwith a handout in local language for five consecutive days, while those in the control group (n = 50) received routine care including KMC and NNS for five consecutive days...

The utilization of machine learning in Materials Science underscores the critical importance of the quality and quantity of data in training models effectively. Unlike fields such as image processing and natural language processing, there is limited availability of atomistic datasets, leading to biases in training data. Particularly in the domain of materials discovery, there exists an issue of continuity in atomistic datasets. Experimental data sourced from literature and patents is usually only available for favorable data, resulting in bias in the training dataset...