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公开(公告)号:EP4345725A3
公开(公告)日:2024-06-19
申请号:EP23209775.8
申请日:2016-09-16
申请人: PRODERMIQ, INC.
发明人: HOSSEINI, Dana , AMINI, Sasan , SCHWARTZ, Eveie, W
IPC分类号: G16H50/30 , G16H20/30 , G16B5/00 , G16B20/00 , G06Q30/02 , G06Q50/22 , G06Q30/06 , A61B34/10 , A61B10/02 , C12Q1/689 , G16B20/20
摘要: The present invention relates to a combination of experimental and computational workflows that allow characterization of specific molecular mechanisms by which the microbiome contribute to skin health and skin age.
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公开(公告)号:EP4360106A1
公开(公告)日:2024-05-01
申请号:EP22829164.7
申请日:2022-06-21
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公开(公告)号:EP2959009A1
公开(公告)日:2015-12-30
申请号:EP14754564.4
申请日:2014-02-21
CPC分类号: G16B5/00 , A61B5/14532 , A61B5/4839 , A61B5/7267 , A61B2560/0223 , G01N33/48707 , G01N2800/042 , G16H50/50
摘要: A method, system and computer readable medium for tracking changes in average glycemia in diabetes is based on a conceptually new approach to the retrieval of SMBG data. Using the understanding of HbA1c fluctuation as the measurable effect of the action of an underlying dynamical system, SMBG provides occasional glimpses at the state of this system and, using these measurements, the hidden underlying system trajectory can be reconstructed for individual diabetes patients. Using compartmental modeling a new two-step algorithm is provided that includes: (i) real-time estimate of HbA1c from fasting glucose readings, updated with any new incoming fasting SMBG data point(s), and (ii) initialization and calibration of the estimated HbA1c trace with daily SMBG profiles obtained periodically. The estimation of these profiles includes a factorial model capturing daily BG variability within two latent factors.
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公开(公告)号:EP4398255A3
公开(公告)日:2024-09-04
申请号:EP24163788.3
申请日:2014-01-29
申请人: Codexis, Inc.
发明人: COPE, Gregory Allan
IPC分类号: G16B35/00
CPC分类号: G16B35/00 , G16C20/60 , G16B5/00 , G16B15/00 , G16B20/00 , G16B20/50 , G16B35/20 , G16B20/20 , G16B5/20 , G16B35/10
摘要: The present invention provides methods for rapidly and efficiently searching biologically-related data space. More specifically, the present invention provides methods for identifying bio-molecules with desired properties, or which are most suitable for acquiring such properties, from complex bio-molecule libraries or sets of such libraries. The present invention also provides methods for modeling sequence-activity relationships, including but not limited to stepwise addition or subtraction techniques, Bayesian regression, ensemble regression and other methods. The present invention further provides digital systems and software for performing the methods provided herein.
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公开(公告)号:EP4398255A2
公开(公告)日:2024-07-10
申请号:EP24163788.3
申请日:2014-01-29
申请人: Codexis, Inc.
发明人: COPE, Gregory Allan
IPC分类号: G16B35/00
CPC分类号: G16B35/00 , G16C20/60 , G16B5/00 , G16B15/00 , G16B20/00 , G16B20/50 , G16B35/20 , G16B20/20 , G16B5/20 , G16B35/10
摘要: The present invention provides methods for rapidly and efficiently searching biologically-related data space. More specifically, the present invention provides methods for identifying bio-molecules with desired properties, or which are most suitable for acquiring such properties, from complex bio-molecule libraries or sets of such libraries. The present invention also provides methods for modeling sequence-activity relationships, including but not limited to stepwise addition or subtraction techniques, Bayesian regression, ensemble regression and other methods. The present invention further provides digital systems and software for performing the methods provided herein.
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公开(公告)号:EP4356379A1
公开(公告)日:2024-04-24
申请号:EP22738270.2
申请日:2022-06-15
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公开(公告)号:EP3005199A1
公开(公告)日:2016-04-13
申请号:EP14804788.9
申请日:2014-05-28
申请人: Five3 Genomics, LLC
IPC分类号: G06F19/10
摘要: Systems and methods are presented in which omics data from multiple cell or tissue samples are used to identify pathway elements that are associated with a treatment parameter of the cell or tissue (e.g., resistance towards a specific drug). So identified pathway elements are then modulated in silico in a statistical factor graph model to provide a modified data set that is re-evaluated with respect to the treatment parameter. Such systems and models are particularly useful for recommendation of multi-drug treatments for treatment-nave patients.
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