International Business Machines Corporation

Globalfoundries Inc.

Boston Scientific Neuromodulation Corporation

Samsung Electronics Co., Ltd.

Lam Research Corporation

Other

Globalfoundries U.S. 2 LLC

Qinghuang Lin

Ratnam Sooriyakumaran

Steven J Holmes

Roy Rongqing Yu

Nathan P Marchack

Deborah A Neumayer

Emily R Kinser

Alshakim Nelson

Robert Dennis Miller

Phillip Joe Brock

Maxime Darnon

Robert David Allen

Dirk Pfeiffer

Jeffrey L Rogers

Giovanni Russo

Tigran Tchrakian

Bruce Bennett Doris

Marie Angelopoulos

Wu-Song S Huang

Terry Allen Spooner

Gustavo Alejandro Stolovitzky

Chao Wang

Ahmad D Katnani

Deqiang Wang

Sampath Purushothaman

Hariklia Deligianni

Anthony J Annunziata

Wayne Martin Moreau

Satyanarayana Venkata Nitta

Lawrence Alfred Clevenger

Alfred Grill

Griselda Bonilla

Shyng-Tsong Chen

Robert L Wisnieff

Mahmoud M Khojasteh

Chih-Chao Yang

Daniel C Edelstein

Ying Di Zhang

Chandrasekharan Kothandaraman

Sanjay C Mehta

Elbert Emin Huang

Hosadurga K Shobha

Damon B Farmer

Eric Andrew Joseph

Christos Dimitrios Dimitrakopoulos

John Albrecht Ott

David Robert Medeiros

James Bowler Hannon

Gen Pei Lauer

Katherina E Babich

John Patrick Simons

Ranee W Kwong

Christy Sensenich Tyberg

Karen Elizabeth Petrillo

Satoshi Oida

Son Van Nguyen

Sivananda K Kanakasabapathy

Cyril Cabral, Jr

Adrien Lavoie

Stephen McConnell Gates

Richard Stephan Wise

Minhua Lu

Kuang-Jung Chen

Richard Alan Gottscho

Ari Aviram

Michael Wayne Lane

Yang Pan

Jengyi Yu

David Earle Seeger

Benjamin L Fletcher

Jingwei Bai

Samantha S H Tan

William R Brunsvold

Gerald Warren Gibson, Jr

Jerome S Hubacek

Jeffrey P Gambino

Ali Afzali-Ardakani

Eugene John O'Sullivan

Kevin Shawn Petrarca

Sri Muthuthamby Sri-Jayantha

Pritish Ranjan Parida

Dario Leonardo Goldfarb

Steven Alan Cordes

Christopher Joseph Waskiewicz

Robert L Bruce

Vijayeshwar Das Khanna

Sebastian Ulrich Engelmann

Yu-Ming Lin

Hoa D Truong

Niranjan Mohanlal Patel

Daby Mousse Sow

Kelly Malone

Rebecca D Mih

Ali Afzali-ardakani

Geraud Jean-Michel Dubois

Luisa Dominica Bozano

Wei-Tsu Tseng

Peter Jerome Sorce

John W Golz

Adam D Ticknor

Systems and techniques are disclosed to adjust programming of an implantable electrical neurostimulation device for treating chronic pain of a human subject, through the use of a dynamic model adapted to identify pain treatment parameters for a human patient and determine a best device operational program to implement the pain treatment parameters to address the chronic pain condition. In an example, the system to adjust programming of the neurostimulation device performs operations that: obtain data related to a state of pain of the human subject; identify pain treatment parameters using a dynamic model adapted to evaluate the pain treatment parameters in the human subject over a time period, based on the data related to the state of pain; and select a neurostimulation program for the neurostimulation device, corresponding to at least a portion of the identified pain treatment parameters.

Adaptive chronic pain relief via implanted electrical neurostimulation

Methods for making thin-films on semiconductor substrates, which may be patterned using EUV, include: depositing the organometallic polymer-like material onto the surface of the semiconductor substrate, exposing the surface to EUV to form a pattern, and developing the pattern for later transfer to underlying layers. The depositing operations may be performed by chemical vapor deposition (CVD), atomic layer deposition (ALD), and ALD with a CVD component, such as a discontinuous, ALD-like process in which metal precursors and counter-reactants are separated in either time or space.

Integrated dry processes for patterning radiation photoresist patterning

Techniques regarding neuromodulation are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can include a mapping component that can generate a stimulus map by mapping a stimulus parameter to a response from an entity to application of a neuromodulating stimulus, with the first neuromodulating stimulus being applied to the entity based on the first stimulus parameter, to therapeutically cause or prevent a sensation.

Neurostimulation therapy

Systems and techniques are disclosed to establish programming of an implantable electrical neurostimulation device for treating chronic pain of a human subject, through the use of a dynamic model adapted to determine pain treatment parameters for a human patient and identify a new device operational program to implement the pain treatment parameters to address the chronic pain condition. In an example, the system to establish programming of the neurostimulation device performs operations that: obtain state data indicating a measured value that is correlated to pain experienced by the human subject; determine neurostimulation programming parameters, using a dynamic model, for pain treatment in the human subject, as the dynamic model is used to identify values of the neurostimulation programming parameters that predict an improvement to the measured value; and indicate a neurostimulation program for the neurostimulation device, that includes the neurostimulation programming parameters for the implantable electrical neurostimulation device.

Adaptive electrical neurostimulation treatment to reduce pain perception

Techniques regarding pain treatment are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can include: a data collection component that can determine at least one parameter associated with a pain perception of a subject, a computing component that can determine a relationship between the pain perception and the at least one parameter using artificial intelligence, and can determine a treatment for the subject based on the relationship; and a treatment component that can cause a device associated with the subject to apply at least a portion of the treatment.

Adaptive pain management and reduction based on monitoring user conditions

In an approach, a biomedical device comprises at least one electrode, wherein the at least one electrode is coupled with a computer chip; at least two chemical sensors, wherein the at least two chemical sensors are coupled with the computer chip; the computer chip, wherein the computer chip comprises: a semiconductor substrate, and a processor; a microfluidic structure, wherein the microfluidic structure is an inert elastomeric polymer; a power supply device coupled to the computer chip; and an antenna configured to send data collected onto the computer chip to a remote server. In an approach, a processor stimulating a cell sample. A processor senses the presence of at least two types of biomolecules released by the cell sample. A processor records data collected by the at least two chemical sensors. A processor sends the recorded data to a remote server.

Medical device for stimulating and sensing bioactivity

A biosensor includes an array of metal nanorods formed on a substrate. An electropolymerized conductor is formed over tops of a portion of the nanorods to form a reservoir between the electropolymerized conductor and the substrate. The electropolymerized conductor includes pores that open and close responsively to electrical signals applied to the nanorods. A dispensing material is loaded in the reservoir to be dispersed in accordance with open pores.

Neuro-chemical sensor with inhibition of fouling on nano-electrode

A sensing and treatment device includes an array of metal nanorod electrodes formed on a substrate, the array including first electrodes for sensing, and second electrodes for electrical pulsation. A data processing system is configured to monitor a parameter using the first electrodes and to activate the electrical pulsation in the second electrodes in accordance with a reading of the parameter.

Intelligent and disposable device for selective electrical stimulation of apoptosis

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Yorktown Heights, NY, United States of America

Qinghuang Lin