公开(公告)号：US20210050108A1

公开(公告)日：2021-02-18

申请号：US16932659

申请日：2020-07-17

Applicant: Tata Consultancy Services Limited

Inventor： Narayanan RAMAMURTHI ,  Shyam Sundar DAS ,  Geervani KONETI

IPC: G16H50/20 ,  G16H20/10

Abstract: Developability of a drug candidate is decided based on the Pharmacokinetic (PK) and Pharmacodynamic (PD) parameters of the drug candidate under investigation. The approaches known as of date do not always guarantee good initial estimates of all the PK-PD parameters of interest. In the present invention, a computer based solution based on hybrid modified league championship algorithm (HMLCA) is described to produce robust and optimal parameter values PK/PD parameters with minimal human intervention. Embodiments of the present disclosure generate optimized set of pharmacokinetic-pharmacodynamic parameter values by a) performing crossover technique that result in better formation and b) addition and removal of good and poor solutions respectively after a time interval to avoid unnecessary computation.

公开(公告)号：US20230297376A1

公开(公告)日：2023-09-21

申请号：US17992274

申请日：2022-11-22

Applicant: Tata Consultancy Services Limited

Inventor： Narayanan RAMAMURTHI ,  Geervani KONETI ,  Mastan Vali SHAIK ,  Shyam Sundar DAS

IPC: G06F9/30

CPC classification number: G06F9/3009 ,  G06F9/30087 ,  G06F9/30036

Abstract: Population based exhaustive replacement method(s) (PERM) for optimal variables selection and generation of regression models, to overcome conventional approaches, thereof is described herein. PERM initializes population based on one or more criteria, wherein one or more paths for variables/descriptors 1 to r for replacement with remaining descriptors wherein the one or more paths are updated based on relative error associated with each variable. For each combination of descriptors of r size, inter correlation of the descriptors are verified and predictive models are built. Subsets of variable with higher predictive ability are selected for substitution of initial population to obtain an updated population on which a replacement method is performed to obtain optimal set of variables. One or more variables of optimal set are randomly replaced, and perturbation can be performed on the top best subsets to converge at global optimum.

公开(公告)号：US20150269225A1

公开(公告)日：2015-09-24

申请号：US14663968

申请日：2015-03-20

Applicant: Tata Consultancy Services Limited

Inventor： Nishant Kumar AGRAWAL ,  R. NARAYANAN ,  Manoj Karunakaran NAMBIAR ,  Rihab ABDULRAZAK ,  Ambuj PANDEY ,  Shyam Sundar DAS

IPC: G06F17/30 ,  G06F19/00

CPC classification number: G06F9/5044 ,  G06F17/30864 ,  G06F17/30867 ,  G06F19/704 ,  G06F19/709

Abstract: Disclosed is a system and method for parallelizing grid search technique facilitating determination of PK-PD parameters. The method may comprise determining number of grids. The method may further comprise creating grid points based upon the number of grids (N) and a number of parameters (p). The method may further comprise distributing the grid points amongst number of threads. The method may further comprise evaluating an objective function value corresponding to each grid point in order to compute an objective function value associated with each of the grid points. Further, the method may comprise identifying a grid point having minimum objective function value. The grid point having the least objective function value may indicate the estimated initial PK-PD parameters.

Abstract translation: 公开了一种用于并行化网格搜索技术以促进PK-PD参数的确定的系统和方法。 该方法可以包括确定网格数量。 该方法还可以包括基于网格数（N）和多个参数（p）来创建网格点。 该方法还可以包括在多个线程之间分配网格点。 该方法还可以包括评估对应于每个网格点的目标函数值，以便计算与每个网格点相关联的目标函数值。 此外，该方法可以包括识别具有最小目标函数值的网格点。 具有最小目标函数值的网格点可以指示估计的初始PK-PD参数。