AIMC Topic: Humans

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Identifying Cancer-Specific circRNA-RBP Binding Sites Based on Deep Learning.

Molecules (Basel, Switzerland)
Circular RNAs (circRNAs) are extensively expressed in cells and tissues, and play crucial roles in human diseases and biological processes. Recent studies have reported that circRNAs could function as RNA binding protein (RBP) sponges, meanwhile RBPs...

Artificial Intelligence for Mental Health and Mental Illnesses: an Overview.

Current psychiatry reports
PURPOSE OF REVIEW: Artificial intelligence (AI) technology holds both great promise to transform mental healthcare and potential pitfalls. This article provides an overview of AI and current applications in healthcare, a review of recent original res...

ThalPred: a web-based prediction tool for discriminating thalassemia trait and iron deficiency anemia.

BMC medical informatics and decision making
BACKGROUND: The hypochromic microcytic anemia (HMA) commonly found in Thailand are iron deficiency anemia (IDA) and thalassemia trait (TT). Accurate discrimination between IDA and TT is an important issue and better methods are urgently needed. Altho...

Peptide arrays incubated with three collections of human sera from patients infected with mosquito-borne viruses.

F1000Research
Global outbreaks caused by emerging or re-emerging arthropod-borne viruses (arboviruses) are becoming increasingly more common. These pathogens include the mosquito-borne viruses belonging to the and genera. These viruses often cause non-specific ...

Machine learning algorithm validation with a limited sample size.

PloS one
Advances in neuroimaging, genomic, motion tracking, eye-tracking and many other technology-based data collection methods have led to a torrent of high dimensional datasets, which commonly have a small number of samples because of the intrinsic high c...

Circular Causation, Circular Cognition: A Tour Around Some Common Confusions.

Artificial life
Life and cognition are inherently circular dynamical processes, and people have difficulty understanding circular causation. I give case studies illustrating some resulting confusions, and propose that the problems may lie in failing to properly dist...

Object detection and recognition: using deep learning to assist the visually impaired.

Disability and rehabilitation. Assistive technology
BACKGROUND: Deep learning systems have improved performance of devices through more accurate object detection in a significant number of areas, for medical aid in general, and also for navigational aids for the visually impaired. Systems addressing d...

Surgical experience of using the endoscope manipulator robot EMARO in totally extraperitoneal inguinal hernia repair: A case report.

Asian journal of endoscopic surgery
Robot-assisted surgery has advanced rapidly since the 1980s. However, new equipment is still needed to overcome problems in conventional endoscopic surgery, including unique risks, such as camera shake and communication difficulties between the opera...

Classification of DNA damages on segmented comet assay images using convolutional neural network.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Identification and quantification of DNA damage is a very significant subject in biomedical research area which still needs more robust and effective methods. One of the cheapest, easy to use and most successful method for D...