Justin P Kinney, 486242 Woosley Dr, San Jose, CA 95123

2021029, Sep 30, 2021

Nov 3, 2020

17/088494

- Cambridge MA, US
Justin P. Kinney - Quincy MA, US
Edward S. Boyden - Chestnut Hill MA, US

Massachusetts Institute of Technology - Cambridge MA

A61B 17/16
A61B 34/30
A61B 34/32
A61B 90/10

An automated craniotomy opening apparatus includes a drilling apparatus with a drilling tip, at least one drilling apparatus positioning device, a detection device, and a computer processor that automatically controls the drilling apparatus, the positioning device, and the detection device. A method for automated opening of craniotomies includes, under automatice control of a computer processor, drilling into a skull for a predetermined distance and determining when there is a conductance drop near the drilling tip that indicates skull breakthrough. If the conductance is not below a predetermined threshold, drilling continues iteratively manner until conductance is below the threshold. A craniotomy pattern may be predetermined and automatically drilled under control of the processor. A cranial window may be created by drilling along a path that interpolates between holes to form the circumference of the window. Determining conductance may include use of an impedance detection circuit.

2021029, Sep 23, 2021

Mar 17, 2020

16/821849

- San Jose CA, US
Justin Kinney - San Jose CA, US

Western Digital Technologies, Inc. - San Jose CA

C12Q 1/6869
G16B 30/20
G16B 30/10

Methods and systems for processing a plurality of sample reads for genome sequencing include, for each sample read of the plurality of sample reads, comparing substring sequences from the sample read to reference sequences representing different portions of a reference genome. One or more reference sequences are identified that match one or more of the compared substring sequences, and a probabilistic location within the reference genome is determined for the sample read based on the one or more identified reference sequences. The plurality of sample reads is sorted into a plurality of sample groups based on the determined probabilistic locations of the respective sample reads.

2021029, Sep 23, 2021

Mar 18, 2020

16/822010

- San Jose CA, US
Justin Kinney - San Jose CA, US

G16B 5/20
G06N 7/00
G16B 30/10

Methods and systems for processing a plurality of sample reads for genome sequencing include, for each sample read of the plurality of sample reads, comparing substring sequences from the sample read to reference sequences representing different portions of a reference genome. One or more reference sequences are identified that match one or more of the compared substring sequences, and a probabilistic location within the reference genome is determined for the sample read based on the one or more identified reference sequences. The reference genome is partitioned for reference-aligned genome sequencing based on the determined probabilistic locations of the respective sample reads.

2021029, Sep 23, 2021

Mar 17, 2020

16/820711

- San Jose CA, US
Justin Kinney - San Jose CA, US

G16B 30/00
G06N 5/04
G16B 40/00

A device for locating a sample read with respect to a reference genome includes a plurality of groups of cells. Each group of cells stores a reference sequence representing reference bases from the reference genome corresponding to an order of cells in the respective group of cells. Each group of cells further stores a current substring sequence representing sample bases from the sample read corresponding to the order of the cells in the respective group of cells. Each group of cells stores the same current substring sequence and a reference sequence representing a portion of the reference genome that partially overlaps at least one other portion of the reference genome represented by one or more other reference sequences stored in one or more other groups of cells. Groups of cells are identified among the plurality of groups of cells where the stored reference sequence matches the current substring sequence.

2016029, Oct 13, 2016

Apr 11, 2016

15/096256

- Cambridge MA, US
Justin P. Kinney - Quincy MA, US
Edward S. Boyden - Chestnut Hill MA, US

Massachusetts Institute of Technology - Cambridge MA

A61B 17/16
A61B 34/32
A61B 90/10

A method for automated opening of craniotomies includes, under the control of a computer processor, drilling into a skull for a predetermined distance and determining when there is a conductance drop near the drilling tip that indicates skull breakthrough. If the conductance is not below a predetermined threshold, drilling continues iteratively manner until conductance is below the threshold. A craniotomy pattern may be predetermined and automatically drilled under control of the processor. A cranial window may be created by drilling along a path that interpolates between holes to form the circumference of the window. An automated craniotomy opening apparatus includes a drilling apparatus with a drilling tip, at least one drilling apparatus positioning device, a detection device, and a computer processor that controls the drilling apparatus, the positioning device, and the detection device according to the method. Determining conductance may include use of an impedance detection circuit.