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Ibsen Childers posted an update 6 months, 1 week ago
es for innovation.
This study identified the most prevalent tracks of implementation in the literature for data preparation, methodology selection and output evaluation for various medical image analysis tasks. Also, we identified several critical research gaps existing in the TL studies on medical image analysis. The findings of this scoping review can be used in future TL studies to guide the selection of appropriate research approaches, as well as identify research gaps and opportunities for innovation.
Sepsis is a life-threatening condition that occurs due to the body’s reaction to infections, and it is a leading cause of morbidity and mortality in hospitals. Early prediction of sepsis onset facilitates early interventions that promote the survival of suspected patients. However, reliable and intelligent systems for predicting sepsis are scarce.
This paper presents a novel technique called Smart Sepsis Predictor (SSP) to predict sepsis onset in patients admitted to an intensive care unit (ICU). SSP is a deep neural network architecture that encompasses long short-term memory (LSTM), convolutional, and fully connected layers to achieve early prediction of sepsis. SSP can work in two modes; Mode 1 uses demographic data and vital signs, and Mode 2 uses laboratory test results in addition to demographic data and vital signs. To evaluate SSP, we have used the 2019 PhysioNet/CinC Challenge dataset, which includes the records of 40,366 patients admitted to the ICU.
To compare SSP with existing state-of-the-art methods, we have measured the accuracy of the SSP in 4-, 8-, and 12-h prediction windows using publicly available data. Our results show that the SSP performance in Mode 1 and Mode 2 is much higher than existing methods, achieving an area under the receiver operating characteristic curve (AUROC) of 0.89 and 0.92, 0.88 and 0.87, and 0.86 and 0.84 for 4h, 8h, and 12h before sepsis onset, respectively.
Using ICU data, sepsis onset can be predicted up to 12h in advance. Our findings offer an early solution for mitigating the risk of sepsis onset.
Using ICU data, sepsis onset can be predicted up to 12 h in advance. Our findings offer an early solution for mitigating the risk of sepsis onset.In recent years, interest in sulfoximine chemistry has been greatly increased. For example, at least three sulfoximine containing drugs BAY 1143572, BAY 1251152 and AZD6738 have entered the clinic. Despite the increasing interest in sulfoximines and their chemistry, the routine application of this structure in drug discovery is still hampered due to limited experience in physicochemical and in vitro parameters of sulfoximines. Therefore, we reviewed all relevant articles from 2013 to the present in terms of potency and pharmacokinetic properties in order to support the addition of the sulfoximine component to the toolbox of medicinal chemists.Investigation of the gynecologic tract microbial milieu has revealed potential new biomarkers. Simultaneously, immunotherapeutics are establishing their place in the treatment of gynecologic malignancies. The interplay between the microbiome, the tumor micro-environment and response to therapy is a burgeoning area of interest. There is evidence to support that microbes, through their genetic make-up, gene products, and metabolites affect human physiology, metabolism, immunity, disease susceptibility, response to pharmacotherapy, and the severity of disease-related side effects. Specifically, the richness and diversity of the gut microbiome appears to affect carcinogenesis, response to immunotherapy, and modulate severity of immune-mediated adverse effects. These effects have best been described in other tumor types and these have shown compelling results. This review summarizes the current understanding and scope of the interplay between the human microbiome, host factors, cancer, and response to treatments. These findings support further exploring whether these associations exist for gynecologic malignancies.Improvements in systemic therapies have changed the face of de novo metastatic breast cancer (dnMBC), with a 5-year survival rate exceeding 25 %. Increasing evidence suggests that a subset of patients could benefit from a locoregional treatment (LRT) with prolonged survival, although the diversity of publications on the subject make it difficult to draw any conclusions. In this review, we summarize the available data on retrospective, prospective and current ongoing clinical trials. Since factors such as tumor biology, pattern of metastatic dissemination and the timing of the treatment are closely linked to the therapeutic strategy, we focus on papers which include these aspects. We discuss recent studies indicating that exclusive radiotherapy provides results comparable with those obtained by surgery. We will then discuss the biological rationale for LRT. Finally, we propose a decision-tree to select the optimal candidates for LRT in dnMBC patients.COVID-19 pandemic is the more challenging public health emergency of the century, producing the collapse of health systems and unprecedented levels of morbidity and mortality around the world, especially in low resource settings. Patients with chronic diseases are the most affected, not only due to the high susceptibility to SARS-CoV-2 infection but also due to the decrease in opportunities for timely care. In this dark landscape, telemedicine, before limited to very specific scenarios, has become one of our main tools to manage cancer patients, particularly in Latin America where COVID-19 has had a strong impact on the public health. Telemedicine can provide rapid access to specialized cancer care in a scenario complicated, reducing the exposure of patients and healthcare personnel to the SARS-CoV-2. In this review, we would like to share our experience and our workflow using telemedicine at Oncosalud-AUNA, a private clinic in Peru.We review scholarship that examines relationships – and distinctions – between religion and delusion. Indisulam solubility dmso We begin by outlining and endorsing the position that both involve belief. Next, we present the prevailing psychiatric view that religious beliefs are not delusional if they are culturally accepted. While this cultural exemption has controversial implications, we argue it is clinically valuable and consistent with a growing awareness of the social – as opposed to purely epistemic – function of belief formation. Finally, we review research on continuities between religious and delusional cognition, which reveals that religious content is quite common in delusions and which provides tentative evidence for a positive relationship between religious belief and delusion-like belief in the general population.
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