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1. 发明授权

US11923063B2 Artificial pancreas with neural signal input 有权
公开(公告)号：US11923063B2
公开(公告)日：2024-03-05
申请号：US17050677
申请日：2019-04-24
申请人： IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE
发明人： Pantelis Georgiou , Amparo Güemes Gonzalez , Pau Herrero-Viñas
IPC分类号： G16H20/17 , G16H20/30
CPC分类号： G16H20/17 , G16H20/30
摘要： There is provided apparatus for controlling the delivery of insulin to a subject. The apparatus comprises a first input (18) for receiving neural information from the subject indicative of prospective or actual food and/or drink intake and a second input (15) for receiving a signal indicative of the subject's blood glucose level (BG). The apparatus further comprises a processor or processors (10) configured to determine food and/or drink characteristics based on the received neural information and to determine an amount of insulin to be delivered based on the measured blood glucose levels (BG) and the determined food and/or drink characteristics, and an output for providing an insulin pump control signal (12) indicative of the determined amount of insulin.

2. 发明公开

US20240024515A1 COMBINATION TREATMENT 审中-公开
公开(公告)号：US20240024515A1
公开(公告)日：2024-01-25
申请号：US18298882
申请日：2023-04-11
申请人： Imperial College of Science, Technology and Medicine , The Chancellor, Masters and Scholars of The University of Oxford , The University Court of The University of Edinburgh , IP2IPO Innovations Limited , Boehringer Ingelheim International GmbH
发明人： Eric Alton , Jane Davies , Uta Grisenbach , Ana Sergijenko , Deborah R. Gill , Stephen C. Hyde , Christopher Boyd , Gerry McLachlan , Sebastian Kreuz , Alena Moiseenko
IPC分类号： A61K48/00 , A61K38/17 , A61K31/4439 , A61K31/47 , A61K31/443 , A61K31/404 , A61P11/00 , C12N15/86
CPC分类号： A61K48/0066 , A61K48/0041 , A61K38/177 , A61K31/4439 , A61K31/47 , A61K31/443 , A61K31/404 , A61P11/00 , C12N15/86 , C12N2740/15043 , C12N2740/15071
摘要： The present invention relates to combination treatments for cystic fibrosis, particularly combinations of modulators of the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) and gene therapy.

3. 发明申请

US20230055250A1 MAP4K4 INHIBITORS 有权
公开(公告)号：US20230055250A1
公开(公告)日：2023-02-23
申请号：US17298870
申请日：2019-12-04
申请人： IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE
发明人： Michael SCHNEIDER , Gary NEWTON , Kathryn CHAPMAN , Ashley JARVIS , Rehan ACIL , Tifelle REISINGER , Melanie BAYFORD , Nicholas CHAPMAN , Nicholas MARTIN
IPC分类号： C07F9/6561 , C07D487/04 , C07D471/04
摘要： This invention relates to compounds that may be useful as inhibitors of Mitogen-activated Protein Kinase Kinase Kinase Kinase-4 (MAP4K4). The invention also relates to the use these compounds, for example in a method of treatment of cardiac conditions. In particular, the present invention relates to compounds of formula (I):

4. 发明申请

US20230019503A1 SYSTEMS AND METHODS FOR TREATING CARDIAC ARRHYTHMIA 有权
公开(公告)号：US20230019503A1
公开(公告)日：2023-01-19
申请号：US17745342
申请日：2022-05-16
申请人： IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE
发明人： Prapa Kanagaratnam , Nick Linton , Darrel Francis
IPC分类号： A61B5/367 , A61B5/00 , A61B5/287
摘要： Apparatus for monitoring activation in a heart comprises a probe 101, a plurality of electrodes 102 supported on the probe and extending over a detection area of the probe, the detection area being arranged to contact a detection region of the heart. Each of the electrodes 102 is arranged to detect electrical potential at a respective position in the heart during movement of a series of activation wave fronts across the detection region. A processor is arranged to analyse the detected electrical potentials to identify a propagation direction of at least one of the wave fronts, and to generate an output indicative of that direction.

5. 发明申请

US20210351863A1 JOINT SOURCE CHANNEL CODING BASED ON CHANNEL CAPACITY USING NEURAL NETWORKS 有权
公开(公告)号：US20210351863A1
公开(公告)日：2021-11-11
申请号：US17268430
申请日：2019-08-14
申请人： Imperial College of Science, Technology and Medicine
发明人： Deniz Gunduz
IPC分类号： H04L1/00 , H03M13/00 , G06N3/08 , G06N3/04
摘要： A communication system for conveying information from an information source across a communications channel using a joint source channel coding autoencoder, comprising: an encoder neural network of the joint source channel coding autoencoder, the encoder neural network having: an input layer having input nodes corresponding to a sequence of source symbols Sm={S1, S2, . . . , Sm}, the Si, taking values in an alphabet S, received at the input layer from the information source as samples thereof, and a channel input layer coupled to the input layer through one or more neural network layers, the channel input layer having nodes usable to provide values for the Xi, of a channel input vector Xn={X1, X2, . . . , Xn}, the Xi, taking values from the available input signal alphabet X of the communications channel, the channel input vector Xn comprising a plurality of signal values Xp usable to reconstruct an information source, wherein the number p of the plurality of signal values Xp is smaller than the total number n of signal values of the channel input vector Xn, and wherein at least one of the remaining signal values of the channel input vector Xn is usable to increase the quality of the reconstructed information source, and wherein the encoder neural network is configured through training to be usable to map sequences of source symbols Sm received from the information source directly to a representation as a channel input vector Xn, usable to drive a transmitter to transmit a corresponding signal over the communications channel; a first decoder neural network and a second decoder neural network of the joint source channel coding autoencoder, each decoder neural network having: a channel output layer having nodes corresponding to a channel output vector Y received from a receiver receiving a signal corresponding to at least the plurality of signal values Xp of the channel input vector Xn transmitted by the transmitter and transformed by the communications channel, and an output layer coupled to the channel output layer through one or more neural network layers, having nodes matching those of the input layer of the encoder neural network, wherein the first decoder neural network is configured through training to map the representation of the source symbols as the channel output vector Y transformed by the communications channel to a reconstruction of the source symbols Ŝm output from the output layer of the joint source channel coding autoencoder, the reconstruction of the source symbols Ŝm being usable to reconstitute the information source; and wherein the number of signal values of the channel output vector Y received by the first decoder network is more than the number of signal values of the channel output vector Y received by the second decoder neural network.

6. 发明申请

US20210338127A1 APPARATUS AND METHOD FOR INSERTING ELECTRODE-BASED PROBES INTO BIOLOGICAL TISSUE 有权
公开(公告)号：US20210338127A1
公开(公告)日：2021-11-04
申请号：US17285809
申请日：2019-10-30
申请人： IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE
发明人： Matthew L. CAVUTO , Timothy CONSTANDINOU , Amos G. WINTER
IPC分类号： A61B5/25 , A61B34/30
摘要： A probe assembly comprising: an electrode-based probe comprising a probe head and one or more slender electrodes extending from the probe head for insertion into biological tissue; and a support element disposed around one or more of said electrodes, distal from the probe head, the support element comprising one or more apertures through which said one or more electrodes pass, the probe head and said electrode(s) being movable relative to the support element during insertion; wherein the support element is configured to constrain the angle of the end of the said electrode(s) at the point of insertion into the tissue. Also provided is an insertion device for inserting the electrode(s) of such a probe assembly into biological tissue, the insertion device comprising: means for holding the support element against the tissue or in close proximity to the tissue; and means for applying an insertion force to the probe head, to drive the probe head towards the support element and thereby cause the electrode(s) to move through the aperture(s) in the support element and become inserted into the tissue.

7. 发明授权

US11149315B2 Method for predicting cervical shortening and preterm birth 有权
公开(公告)号：US11149315B2
公开(公告)日：2021-10-19
申请号：US16880766
申请日：2020-05-21
申请人： IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY, AND MEDICINE
发明人： Joanna Cook , Philip Bennett , Vasiliki Terzidou , David Macintyre
IPC分类号： C12Q1/6883 , C12Q1/6869
摘要： The present invention provides method for predicting risk of cervical shortening, methods for predicting risk of preterm labour (PTL), and methods for characterising a pregnant subject having a history of previous PTL, mid-trimester loss or cervical cone biopsy as being in need of surveillance and/or intervention to prevent preterm labour, comprising determining the expression level of one or more of the miRNA molecules identified in Table 1 or Table 2 extracted from a biological sample obtained from said subject and comparing to a control value. Biochips and kits for use in carrying out the methods of the invention are also provided.

8. 发明申请

US20210319286A1 JOINT SOURCE CHANNEL CODING FOR NOISY CHANNELS USING NEURAL NETWORKS 有权
公开(公告)号：US20210319286A1
公开(公告)日：2021-10-14
申请号：US17268429
申请日：2019-08-14
申请人： Imperial College of Science, Technology and Medicine
发明人： Deniz Gunduz
IPC分类号： G06N3/04 , G06N3/08 , H04N19/94 , H03M13/00
摘要： A communication system for conveying information from an information source across a communications channel using a joint source channel coding variational autoencoder, comprising an encoder neural network of the joint source channel coding variational autoencoder, the encoder neural network having an input layer having input nodes corresponding to a sequence of source symbols S={S1, S2, . . . , Sm}, the Si, taking values in a finite alphabet S, received at the input layer from the information source as samples thereof, and a channel input layer coupled to the input layer through one or more neural network layers, the channel input layer having nodes corresponding to a channel input distribution vector Zk={Z1, Z2, . . . , ZK}, the Zi, taking values for parameters defining a plurality of distributions, each distribution being sampleable to provide possible values for the Xi, of a channel input vector Xn={X1, X2, . . . , Xn}, the Xi taking values from the available input signal values of the communications channel, wherein the encoder neural network is configured through training to map sequences of source symbols Sm received from the information source directly to a representation as a plurality of distributions that provide possible values for the Xi, of a channel input vector Xn, usable to drive a transmitter to transmit a corresponding signal over the communications channel; a sampler, configured to produce a channel input vector Xn={X1, X2, . . . , Xn} in use by sampling the respective distribution for each channel input X defined by the channel input distribution vector Zk={Zi, Z2, . . . , ZK} output by the channel input layer of the encoder neural network; and a decoder neural network of the joint source channel coding variational autoencoder, the decoder neural network having a channel output layer having nodes corresponding to a channel output vector Yn received from a receiver receiving the signal Xn transmitted by the transmitter and transformed by the communications channel, and an output layer coupled to the channel output layer through one or more neural network layers, having nodes matching those of the input layer of the encoder neural network, wherein the decoder neural network is configured through training to map the representation of the source symbols as the channel output vector Yn transformed by the communications channel to a reconstruction of the source symbols Sm output from the output layer of the joint source channel coding variational autoencoder, the reconstruction of the source symbols Sm being usable to reconstitute the information source.

9. 发明授权

US11029313B2 Method of treating cervical neoplasia in patients infected with human papilloma virus 有权
公开(公告)号：US11029313B2
公开(公告)日：2021-06-08
申请号：US15888662
申请日：2018-02-05
申请人： The General Hospital Corporation , Imperial College of Science, Technology and Medicine
发明人： Mark C. Poznansky , Hajah Siti Fatimah Jaafar , Dulcie V. Coleman , Pierre LeBlanc
IPC分类号： G01N33/574
摘要： The invention generally features compositions and methods for the diagnosis, treatment, and monitoring of neoplasia in a subject, as well as methods of treatment selection.

10. 发明申请

US20210118660A1 THERMAL DESORPTION TUBE SAMPLER 有权
公开(公告)号：US20210118660A1
公开(公告)日：2021-04-22
申请号：US17255938
申请日：2019-07-02
申请人： Imperial College of Science, Technology and Medicine
发明人： George Hanna , Andrea Romano
IPC分类号： H01J49/04 , H01J49/40 , G01N30/72
摘要： The disclosure provides a thermal desorption (TD) tube sampler. The sampler comprises a first connector configured to reversibly connect to a TD tube containing a sample, and a second connector configured to couple to a direct injection mass spectrometer. The TD tube sampler is configured to desorb a sample in a TD tube connected thereto, and feed the desorbed sample from the TD tube to a direct injection mass spectrometer such that the desorbed sample does not pass through a cold trap.

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