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Extracting Drug-Protein Relation from Literature Using Ensembles of Biomedical Transformers.
Studies in health technology and informatics
Jan 25, 2024
Automatic extraction of relations between drugs/chemicals and proteins from ever-growing biomedical literature is required to build up-to-date knowledge bases in biomedicine. To promote the development of automated methods, BioCreative-VII organized ...
Using Natural Language Processing to Extract and Classify Symptoms Among Patients with Thyroid Dysfunction.
Studies in health technology and informatics
Jan 25, 2024
In the United States, more than 12% of the population will experience thyroid dysfunction. Patient symptoms often reported with thyroid dysfunction include fatigue and weight change. However, little is understood about the relationship between these ...
Hybrid approach combining deep learning and a rule based expert system for concept extraction from prescriptions.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2023
Concept extraction from prescriptions is a very important task that provides a foundation for many of the downstream healthcare applications in decision making across the areas of pharmacovigilance, medication adherence, inventory management, and oth...
[Research and application of photovoltaic cell online monitoring system for animal robot stimulator].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Oct 25, 2022
Power supply plays a key role in ensuring animal robots to obtain effective stimulation. To extending the stimulating time, there is a need to apply photovoltaic cells and monitor their parameter variations, which can help operators to obtain the opt...
FcTC-UNet: Fine-grained Combination of Transformer and CNN for Thoracic Organs Segmentation.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2022
Precise segmentation of organs at risk (OARs) in computed tomography (CT) images is an essential step for lung cancer radiotherapy. However, the manual delineation of OARs is time-consuming and subject to inter-observer variation. Although U-like arc...
Future Image Prediction of Plantar Pressure During Gait Using Spatio-temporal Transformer.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2022
Gait is one of the most frequently used forms of human movement during daily activities. The majority of works focus on exploring the dynamic factors during gait. Different from previous works, we adapt an image prediction task for anticipating the n...
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2022
Early detection of precancerous cysts or neoplasms, i.e., Intraductal Papillary Mucosal Neoplasms (IPMN), in pancreas is a challenging and complex task, and it may lead to a more favourable outcome. Once detected, grading IPMNs accurately is also nec...
High-speed serial deep learning through temporal optical neurons.
Optics express
Jun 21, 2021
Deep learning is able to functionally mimic the human brain and thus, it has attracted considerable recent interest. Optics-assisted deep learning is a promising approach to improve forward-propagation speed and reduce the power consumption of electr...
Rehabilitation assisted by robotic and electromechanical devices for people with neurological disabilities: contributions for the preparation of a national conference in Italy.
European journal of physical and rehabilitation medicine
Jun 1, 2021
Fast and programmable locomotion of hydrogel-metal hybrids under light and magnetic fields.
Science robotics
Dec 9, 2020
The design of soft matter in which internal fuels or an external energy input can generate locomotion and shape transformations observed in living organisms is a key challenge. Such materials could assist in productive functions that may range from r...
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