Company Filing History:
Years Active: 2025
Title: Toshiya Iwamori: Innovator in Neural Networks and Health Prediction
Introduction
Toshiya Iwamori is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the fields of neural networks and medical event prediction. With a total of 3 patents, his work is at the forefront of technological advancements in these areas.
Latest Patents
Iwamori's latest patents include innovative methods that leverage advanced computational techniques. One of his notable inventions is the "Neural ODE for irregularly-sampled time series." This patent describes a computer-implemented method for updating hidden states in a recurrent neural network (RNN) to predict future data from multivariate time-series data with irregular time intervals. The method involves inputting observation data at current time steps, subdividing time intervals, and calculating hidden states using ODE-RNNs.
Another significant patent is "Diabetes complication prediction by health record monitoring." This invention provides a computer-implemented method for predicting medical event times. It includes receiving electronic health records (EHR) with observation variables and timestamps, converting the EHR into a K-dimensional vector, and processing this vector using a medical event time prediction model to output predictions of medical event times.
Career Highlights
Toshiya Iwamori is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and develop cutting-edge technologies. His work has garnered attention for its potential impact on healthcare and data analysis.
Collaborations
Iwamori has collaborated with notable colleagues, including Takayuki Katsuki and Akira Koseki. These partnerships have contributed to the advancement of his research and the successful development of his patents.
Conclusion
Toshiya Iwamori is a distinguished inventor whose work in neural networks and health prediction is shaping the future of technology. His innovative patents reflect his commitment to improving data analysis and healthcare outcomes.
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