WO2025019711A3 - Predicting therapeutic response based on biomarker signatures - Google Patents
Predicting therapeutic response based on biomarker signatures Download PDFInfo
- Publication number
- WO2025019711A3 WO2025019711A3 PCT/US2024/038611 US2024038611W WO2025019711A3 WO 2025019711 A3 WO2025019711 A3 WO 2025019711A3 US 2024038611 W US2024038611 W US 2024038611W WO 2025019711 A3 WO2025019711 A3 WO 2025019711A3
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- therapeutic response
- response based
- predicting therapeutic
- biomarker signatures
- methods
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/40—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- Biomedical Technology (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Pathology (AREA)
- Medicinal Chemistry (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Chemical & Material Sciences (AREA)
- Business, Economics & Management (AREA)
- General Business, Economics & Management (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
- Investigating Or Analysing Biological Materials (AREA)
Abstract
Disclosed herein are systems and methods of generating skin disease treatment classes. Also described herein are methods for using the methods described herein for assessing potential response to therapies for treating skin diseases or skin conditions.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US19/304,519 US20250372262A1 (en) | 2014-02-04 | 2025-08-19 | Methods and systems for detecting skin conditions |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202363527670P | 2023-07-19 | 2023-07-19 | |
| US63/527,670 | 2023-07-19 |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| US19/304,519 Continuation-In-Part US20250372262A1 (en) | 2014-02-04 | 2025-08-19 | Methods and systems for detecting skin conditions |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| WO2025019711A2 WO2025019711A2 (en) | 2025-01-23 |
| WO2025019711A3 true WO2025019711A3 (en) | 2025-04-17 |
Family
ID=94282673
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/US2024/038611 Pending WO2025019711A2 (en) | 2014-02-04 | 2024-07-18 | Predicting therapeutic response based on biomarker signatures |
Country Status (1)
| Country | Link |
|---|---|
| WO (1) | WO2025019711A2 (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022098756A1 (en) * | 2020-11-03 | 2022-05-12 | WUGEN, Inc. | Chimeric antigen receptor cell therapy |
| US20220160729A1 (en) * | 2017-04-01 | 2022-05-26 | Avm Biotechnology, Llc | Replacement of Cytotoxic Preconditioning Before Cellular Immunotherapy |
| WO2022187196A1 (en) * | 2021-03-02 | 2022-09-09 | Dermtech, Inc. | Predicting therapeutic response |
-
2024
- 2024-07-18 WO PCT/US2024/038611 patent/WO2025019711A2/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20220160729A1 (en) * | 2017-04-01 | 2022-05-26 | Avm Biotechnology, Llc | Replacement of Cytotoxic Preconditioning Before Cellular Immunotherapy |
| WO2022098756A1 (en) * | 2020-11-03 | 2022-05-12 | WUGEN, Inc. | Chimeric antigen receptor cell therapy |
| WO2022187196A1 (en) * | 2021-03-02 | 2022-09-09 | Dermtech, Inc. | Predicting therapeutic response |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2025019711A2 (en) | 2025-01-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| BR112018068906A2 (en) | composition, method, risk reduction method, prevention or treatment of an individual having an autoimmune disease or disorder, method of inducing degradation of a target protein in a cell, method for reducing risk, preventing or treating a disease state or disorder in a patient wherein the unregulated protein activity is responsible for said disease or condition, method for reducing the risk, preventing or treating cancer in an individual, and method of treating a genetic disease or disorder in an individual | |
| Wu et al. | Acute traumatic coma awakening by right median nerve electrical stimulation: a randomised controlled trial | |
| Kim et al. | Neuroepigenetics of post-traumatic stress disorder | |
| Mascarenhas et al. | Interim analysis of the myeloproliferative disorders research consortium (MPD-RC) 112 global phase III trial of front line pegylated interferon alpha-2a vs. hydroxyurea in high risk polycythemia vera and essential thrombocythemia | |
| De Tommaso et al. | Suggestion and pain in migraine: a study by laser evoked potentials | |
| Tankus et al. | Impaired timing of speech-related neurons in the subthalamic nucleus of Parkinson disease patients suffering speech disorders | |
| Anzak et al. | Subcortical evoked activity and motor enhancement in Parkinson's disease | |
| WO2025019711A3 (en) | Predicting therapeutic response based on biomarker signatures | |
| Svensson et al. | Modulation of an inhibitory reflex in single motor units in human masseter by tonic painful stimulation | |
| Astikainen et al. | Somatosensory event-related potentials in the rabbit cerebral and cerebellar cortices: a correspondence with mismatch responses in humans | |
| Portnova et al. | EEG of patients in coma after traumatic brain injury reflects physical parameters of auditory stimulation but not its emotional content | |
| Cacace et al. | Blast overpressures as a military and occupational health concern | |
| Wang et al. | Excitability changes induced in the human auditory cortex by transcranial alternating current stimulation | |
| Gaylis et al. | Neuroimmune modulation for drug-refractory rheumatoid arthritis: long-term safety and efficacy in patients enrolled in a pilot vagus nerve stimulation study | |
| Baciu et al. | Effect of visual feedback on speech recovery and language plasticity in patients with post-stroke non-fluent aphasia. Functional MRI assessment | |
| Rayner et al. | Reduced attention-driven auditory sensitivity inhallucination-prone individuals | |
| Ilg et al. | Motor rehabilitation of cerebellar disorders | |
| Kaewpijit et al. | Baseline resting EEG measures differentiate rTMS treatment responders and non-responders | |
| Gonzalez et al. | Where Do You Sleep?–Actigraphic Sleep Quality Mediates the Relationship between Neighborhood Disadvantage and Physical Function in Individuals with Painful Knee Osteoarthritis | |
| Miyazaki et al. | POS0546 SAFETY AND EFFICACY OF ANIFROLUMAB IN PATIENTS WITH SYSTEMIC LUPUS ERYTHEMATOSUS (SLE) WITH MINOR FLARES AFTER ACHIEVING THE LUPUS LOW DISEASE ACTIVITY STATE (LLDAS) IN REAL-WORLD CLINICAL PRACTICE: LOOPS REGISTRY | |
| Zaytsev et al. | Possible strategies for the implementation of WHO program on the elimination of hepatitis C in Ukraine by 2030 | |
| Luo et al. | An innovative predictive model for assessing tinnitus sound therapy outcomes: integrating audiological and psychometric variables | |
| Carrión-Barberà et al. | ABS1107 COMPLETE BLOOD COUNT AND THEIR RATIOS CAN SUPPORT DIAGNOSIS AND SURVIVAL OUTCOMES IN GIANT CELL ARTERITIS | |
| Nackers et al. | Food insecurity is associated with lower rates of bariatric surgery and longer timeframe to completing surgery | |
| Sagard et al. | ABS0372 DO AXIAL SPONDYLOARTHRITIS PATIENTS WITH PERIPHERAL INVOLVEMENT HAVE MORE SEVERE DISEASE INSIGHTS FROM THE SPARTAKUS COHORT |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| 121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 24843984 Country of ref document: EP Kind code of ref document: A2 |