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Kinematic data analysis for stress detection
This technology uses movement data from laparoscopic instruments to detect stress levels in surgeons in near real-time. An AI model analyzes the data, identifying movement patterns associated with stress, and can be integrated into robotic surgical platforms for feedback and guidance.
Background
Laparoscopic surgery is a complex and demanding field...
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Chemical language model for identifying functionally similar molecules across structural variants
A chemical language model identifies functionally similar molecules to a query by using SMILES strings and different canonicalization algorithms. This method finds structurally distinct but functionally analogous molecules, aiding drug discovery by focusing on functional rather than structural similarities.
Background
Chemical similarity searches...
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Tactile sensing technology for enhanced object morphology detection and classification using machine learning
A four-dimensional tactile sensing system uses a camera and tactile sensors to measure an object’s shape and stiffness. It employs machine learning for object classification, with potential applications in medical diagnostics and other fields requiring detailed tactile feedback.
Background
Tactile sensing technology has become increasingly significant...
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Machine learning system for safer childbirth outcomes
A computer system uses machine learning to predict the likelihood of a Cesarean delivery by analyzing up to 22 pregnancy-related characteristics. This technology aids in clinical decision-making, potentially reducing risks and costs associated with unplanned Cesarean sections.
Background
Unplanned Cesarean sections (C-sections) present significant...
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Method for decoding language from non-invasive brain recordings
Problem
The loss of speech, whether resulting from accidents or diseases, profoundly impacts individuals and their communities. The emotional and social ramifications of losing the ability to speak cannot be understated. Language decoding technology has applications to dramatically improve the lives of those suffering from loss of speech and has future...
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New MRI acquisition and post-processing technique for improved breast cancer diagnosis
New computational imaging platform can improve patient-specific characterization of breast cancerProblemClinicians rely on imaging to direct the path of treatment for breast cancer. The current standards for vascular imaging, MRI and CT, can miss valuable information. Fortunately, there has been a wave of technical progress with digital health technologies....
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