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Lance A Ladic

age ~55

from Robbinsville, NJ

Also known as:
  • Lance A Dadic
Phone and address:
8 Milburne Ln, Trenton, NJ 08691
(609)3062303

Lance Ladic Phones & Addresses

  • 8 Milburne Ln, Trenton, NJ 08691 • (609)3062303
  • Robbinsville, NJ
  • Freehold, NJ
  • 101 Harvest Ln, Monmouth Junction, NJ 08852 • (732)4385006
  • Princeton Junction, NJ
  • Minneapolis, MN
  • 8 Milburne Ln, Robbinsville, NJ 08691

Education

  • Degree:
    High school graduate or higher

Us Patents

  • Framework For A Biopharmaceutical Value Chain

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  • US Patent:
    20050165557, Jul 28, 2005
  • Filed:
    Jan 25, 2005
  • Appl. No.:
    11/043392
  • Inventors:
    Lance Ladic - Monmouth Junction NJ, US
    David Rapaport - Marlboro NJ, US
    Rainer Michelis - East Windsor NJ, US
  • International Classification:
    G06F017/60
    G06F019/00
    G01N033/48
    G01N033/50
  • US Classification:
    702019000, 705003000
  • Abstract:
    An information management framework includes a network of connected processors, an application data server connected to the network, and an infrastructure for interfacing with the application data server. The framework includes a first client accessing the application data server through the infrastructure and making drug candidate data available on the application data server via the network, and a second client for conducting drug candidate research via the network against the drug candidate data.
  • Method And Apparatus For Providing A Laboratory Information Management System For Use In An E-Commerce Environment

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  • US Patent:
    20050165625, Jul 28, 2005
  • Filed:
    Jan 24, 2005
  • Appl. No.:
    11/042128
  • Inventors:
    Lance Ladic - Monmouth Junction NJ, US
    David Rapaport - Marlboro NJ, US
  • International Classification:
    G06F017/60
  • US Classification:
    705002000
  • Abstract:
    An infrastructure for an ASP-LIMS (Application Service Provider-delivered Laboratory Information Management System) is disclosed. For example, the system may provide hardware infrastructure for the ASP (e.g., one or more servers, and network connectivity), libraries of related workflow modules, applications specific to processing laboratory and/or clinical data, embedded DSS (Decision Support System) software, and an optional data warehouse, e.g., for storing customer data in encrypted format for backup purposes. Finally, the present method and system provide an effective extension for use in an e-commerce environment.
  • System And Method For Deployment Of Configuration And Analysis Software

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  • US Patent:
    20060130058, Jun 15, 2006
  • Filed:
    Jan 5, 2006
  • Appl. No.:
    11/326232
  • Inventors:
    Lawrence Tarbox - Eureka MO, US
    John Pearson - Lawrenceville NJ, US
    David Rapaport - Marlboro NJ, US
    Lance Ladic - Monmouth Junction NJ, US
  • International Classification:
    G06F 9/445
  • US Classification:
    717176000
  • Abstract:
    The present invention discloses a method and system for deploying software, e.g., software modules designed for acquisition and/or post-processing of images related to a particular imaging agent. The modules can be remotely accessed from a software server.
  • Identification, Classification And Counting Of Targets Of Interest In Multispectral Image Data

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  • US Patent:
    20090268966, Oct 29, 2009
  • Filed:
    Mar 24, 2009
  • Appl. No.:
    12/409659
  • Inventors:
    Leo Grady - Yardley PA, US
    Lance Anthony Ladic - Monmouth Junction NJ, US
  • Assignee:
    Siemens Corporate Research, Inc. - Princeton NJ
  • International Classification:
    G06K 9/46
  • US Classification:
    382191
  • Abstract:
    An imaging system for detecting targets of interest (TOIs) in multispectral imaging data includes a memory device storing a plurality of instructions embodying the system for detecting TOIs, a processor for receiving the multispectral imaging data and executing the plurality of instructions to perform a method including determining a list of events collocated across images of the multispectral imaging data and labeling each event as one of a TOI or non-TOI.
  • Microscopic And Macroscopic Data Fusion For Biomedical Imaging

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  • US Patent:
    20100121172, May 13, 2010
  • Filed:
    Feb 12, 2009
  • Appl. No.:
    12/369847
  • Inventors:
    Lance Anthony Ladic - Monmouth Junction NJ, US
    Gianluca Paladini - Skillman NJ, US
  • Assignee:
    Siemens Corporate Research, Inc. - Princeton NJ
  • International Classification:
    A61B 5/05
  • US Classification:
    600407
  • Abstract:
    Macroscopic imaging data, such as CT, MR, PET, or SPECT, is obtained. Microscopic imaging data of at least a portion of the same tissue is obtained. The microscopic imaging data is spatially aligned with the macroscopic imaging data. The spatial alignment allows calculation and/or imaging using both types of data as a multi-resolution data set. A given image may include information about the relative position of the microscopically imaged tissue to the macroscopically imaged body portion. This positional relationship may allow viewing of affects or changes at cellular levels as well as less detailed tissue structure or organism levels and may allow determination of any correlation between changes in both levels.
  • Decision Support System For Individualizing Radiotherapy Dose

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  • US Patent:
    20200069973, Mar 5, 2020
  • Filed:
    Sep 26, 2019
  • Appl. No.:
    16/583324
  • Inventors:
    - Erlangen, DE
    - Cleveland OH, US
    Nilesh Mistry - Erlangen, DE
    Lance Anthony Ladic - Robbinsville NJ, US
    Mohamed Abazeed - Cleveland OH, US
  • International Classification:
    A61N 5/10
    A61B 6/03
    G06N 20/00
    G06N 5/04
    G16H 20/40
    G16H 30/20
  • Abstract:
    For decision support in a medical therapy, machine learning provides a machine-learned generator for generating a prediction of outcome for therapy personalized to a patient. The outcome prediction may be used to determine dose. To assist in decision support, a regression analysis of the cohort used for machine training relates the outcome from the machine-learned generator to the dose and an actual control time (e.g., time-to-event). The dose that minimizes side effects while minimizing risk of failure to a time for any given patient is determined from the outcome for that patient and a calibration from the regression analysis.
  • Analyzing Digital Holographic Microscopy Data For Hematology Applications

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  • US Patent:
    20190087638, Mar 21, 2019
  • Filed:
    Nov 16, 2018
  • Appl. No.:
    16/193587
  • Inventors:
    - Tarrytown NY, US
    Shanhui Sun - Princeton NJ, US
    Bogdan Georgescu - Plainsboro NJ, US
    Lance Ladic - Robbinsville NJ, US
    Ali Kamen - Skillman NJ, US
  • International Classification:
    G06K 9/00
    G06K 9/46
    G06K 9/62
    G01N 33/49
    G01N 15/14
    G03H 1/04
    G06T 7/136
    G06T 7/00
    G01N 15/00
    G03H 1/00
    G01N 15/10
  • Abstract:
    A method for analyzing digital holographic microscopy (DHM) data for hematology applications includes receiving a plurality of DHM images acquired using a digital holographic microscopy system. One or more connected components are identified in each of the plurality of DHM images and one or more training white blood cell images are generated from the one or more connected components. A classifier is trained to identify a plurality of white blood cell types using the one or more training white blood cell images. The classifier may be applied to a new white blood cell image to determine a plurality of probability values, each respective probability value corresponding to one of the plurality of white blood cell types. The new white blood cell image and the plurality of probability values may then be presented in a graphical user interface.
  • Analyzing Digital Holographic Microscopy Data For Hematology Applications

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  • US Patent:
    20180144182, May 24, 2018
  • Filed:
    Jun 16, 2015
  • Appl. No.:
    15/580136
  • Inventors:
    - Tarrytown NY, US
    Bogdan Georgescu - Plainsboro NJ, US
    Lance Anthony Ladic - Robbinsville NJ, US
    Ali Kamen - Skillman NJ, US
    Shanhui Sun - Princeton NJ, US
  • International Classification:
    G06K 9/00
    G03H 1/04
    G06K 9/62
    G01N 33/49
    G01N 15/14
    G06K 9/46
    G06T 7/136
    G06T 7/00
  • Abstract:
    A method for analyzing digital holographic microscopy (DHM) data for hematology applications includes receiving a DHM image acquired using a digital holographic microscopy system and identifying one or more erythrocytes in the DHM image. For each respective erythrocyte included in the one or more erythrocytes, a cell thickness value for the respective erythrocyte using a parametric model is estimated, and a cell volume value is calculated for the respective erythrocyte using the cell thickness value.

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