Alternative Medicine

Deep Collocative Learning for Immunofixation Electrophoresis Image Analysis.

Immunofixation Electrophoresis (IFE) analysis is of great importance to the diagnosis of Multiple Myeloma, which is among the top-9 cancer killers in the United States, but has rarely been studied in the context of deep learning. Two possible reasons are: 1) the recognition of IFE patterns is dependent on the co-location of bands that forms a binary relation, different from the unary relation (vis...

Monitoring the vertical distribution of HABs using hyperspectral imagery and deep learning models.

Remote sensing techniques have been applied to monitor the spatiotemporal variation of harmful algal blooms (HABs) in many inland waters. However, these studies have been limited to monitor the vertical distribution of HABs due to the optical complexity of inland water. Therefore, this study applied a deep neural network model to monitor the vertical distribution of Chlorophyll-a (Chl-a), phycocya...

Investigation of clinical target volume segmentation for whole breast irradiation using three-dimensional convolutional neural networks with gradient-weighted class activation mapping.

This study aims to implement three-dimensional convolutional neural networks (3D-CNN) for clinical target volume (CTV) segmentation for whole breast i...

A review of linkage mechanisms in animal joints and related bioinspired designs.

This paper presents a review of biological mechanical linkage mechanisms. One purpose is to identify the range of kinematic functions that they are ab...

COVID-19 Diagnosis Using an Enhanced Inception-ResNetV2 Deep Learning Model in CXR Images.

The COVID-19 pandemic has a significant negative effect on people's health, as well as on the world's economy. Polymerase chain reaction (PCR) is one ...

[Robot-assisted Living Donor Nephrectomy - Technical Aspects and Initial Evidence].

Minimally invasive donor nephrectomy has become the standard procedure in most transplant centres over the past two decades and has contributed to a r...

Industry 4.0 for pharmaceutical manufacturing: Preparing for the smart factories of the future.

Over the last two centuries, medicines have evolved from crude herbal and botanical preparations into more complex manufacturing of sophisticated drug...

Tuned inhibition in perceptual decision-making circuits can explain seemingly suboptimal confidence behavior.

Current dominant views hold that perceptual confidence reflects the probability that a decision is correct. Although these views have enjoyed some emp...

Discovery and characterization of naturally occurring potent inhibitors of catechol--methyltransferase from herbal medicines.

Human catechol--methyltransferase (hCOMT) is considered a therapeutic target due to its crucial roles in the metabolic inactivation of endogenous neur...

Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imaging.

BACKGROUND: Deep learning using convolutional neural networks (CNNs) has shown great promise in advancing neuroscience research. However, the ability ...

An Integrative Framework for Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning.

Knowing the transcription factor binding sites (TFBSs) is essential for modeling the underlying binding mechanisms and follow-up cellular functions. C...

Automatically classifying the evidence type of drug-drug interaction research papers as a step toward computer supported evidence curation.

A longstanding issue with knowledge bases that discuss drug-drug interactions (DDIs) is that they are inconsistent with one another. Computerized supp...

Harmine protects mercuric chloride kidney-induced injury by antioxidant activity in male mice: a biochemical and histological study.

BACKGROUND AND PURPOSE: Mercuric chloride (Merc) can cause kidney toxicity. Harmine (Harm), an herbal alkaloid has various pharmacological and medicin...

Robot-Assisted Radical Cystectomy with Intracorporeal Urinary Diversion: A New Standard of Urinary Diversion.

To summarize the current evidence on robot-assisted radical cystectomy (RARC) with intracorporeal urinary diversion (ICUD) and compare perioperative ...

An integrative knowledge graph for rare diseases, derived from the Genetic and Rare Diseases Information Center (GARD).

BACKGROUND: The Genetic and Rare Diseases (GARD) Information Center was established by the National Institutes of Health (NIH) to provide freely acces...

The use of geroprotectors to prevent multimorbidity: Opportunities and challenges.

Over 60 % of people over the age of 65 will suffer from multiple diseases concomitantly but the common approach is to treat each disease separately. A...

Issues associated with deploying CNN transfer learning to detect COVID-19 from chest X-rays.

Covid-19 first occurred in Wuhan, China in December 2019. Subsequently, the virus spread throughout the world and as of June 2020 the total number of ...

Scolicidal effects of and extracts on protoscoleces of hydatid cysts.

Echinococcosis is among the most underestimated parasitic diseases that have universal distribution. The primary treatment is surgery. Hence, the deve...

Integrative Benchmarking to Advance Neurally Mechanistic Models of Human Intelligence.

A potentially organizing goal of the brain and cognitive sciences is to accurately explain domains of human intelligence as executable, neurally mecha...

UHPLC-MS/MS analysis of cAMP and cGMP in rat plasma as potential biomarkers of Yin-Yang disharmony in traditional Chinese medicine.

Cyclic 3',5'-adenosine monophosphate (cAMP) and cyclic 3',5'-guanosine monophosphate (cGMP) are considered as potential biomarkers for Yin-Yang dishar...