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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Predicting cancer outcomes wit" (30 stories)

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Predicting cancer outcomes with a selfie
Lead StoryHarvard Gazettegeneral
May 21

Predicting cancer outcomes with a selfie

<a href="https://news.google.com/rss/articles/CBMikgFBVV95cUxQRFA4RHd3NVpETWMxSjNWaEhSTlg0NkFzeXYxLVZjbjg4QnBacnpQRHB3OWIzNDRvWDg5NTdFbHVtUGE3NWRMdGxxbUE4NzJZX0VILURhSkF3MHFlYWNaSVFVN1l3eFN4MG5YZUUwN2hFYkFScF9uSkN6cnc5SEd4dGhUWk5kajdRZVcxcnJPakZhdw?oc=5" target="_blank">Predicting cancer outcomes with a selfie</a>  <font color="#6f6f6f">Harvard Gazette</font>

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Search Results for "Predicting cancer outcomes wit"

Updated every 3 minutes via FreeNewsApi, GNews, Currents API & Google News

29 stories displayed
PSMA PET/CT–derived Tumor Volume for Predicting Outcomes in Patients with Metastatic Castration-Resistant Prostate Cancer Receiving 177Lu-PSMA-617 | Radiology
RSNA Journalsgeneral

PSMA PET/CT–derived Tumor Volume for Predicting Outcomes in Patients with Metastatic Castration-Resistant Prostate Cancer Receiving 177Lu-PSMA-617 | Radiology

<a href="https://news.google.com/rss/articles/CBMiYEFVX3lxTE8yaldlaDJsUFJmazRIWVZaOTNhWWRfZnQ0YV83cDFFRmR5TXN2eTB3WE5UN05KSk5MVjBKOHRUWUc2UXM1WnFRWXFPUC1QOEpWUWw2WUZJRDdwQlVySWRUYQ?oc=5" target="_blank">PSMA PET/CT–derived Tumor Volume for Predicting Outcomes in Patients with Metastatic Castration-Resistant Prostate Cancer Receiving 177Lu-PSMA-617 | Radiology</a>  <font color="#6f6f6f">RSNA Journals</font>

Evaluating the application of dynamic prediction models in oncological prognostic studies with repeated measurement predictors
Naturegeneral

Evaluating the application of dynamic prediction models in oncological prognostic studies with repeated measurement predictors

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5SOFMwcW1zQ2syVkM1b0RBcTZWckRMT3B6OEtxTDh6UGxvTDI4VDRCNEFINlFTcU9yRjJCM0o2a2VNNkpJb3RrSjRVdXhCdTJuZ09RV1Qyc29BOTJUY0VV?oc=5" target="_blank">Evaluating the application of dynamic prediction models in oncological prognostic studies with repeated measurement predictors</a>  <font color="#6f6f6f">Nature</font>

Unique Stanford Medicine-designed AI predicts cancer prognoses, responses to treatment
Stanford Medicinetech

Unique Stanford Medicine-designed AI predicts cancer prognoses, responses to treatment

<a href="https://news.google.com/rss/articles/CBMie0FVX3lxTE5ZWUM3V0liNTdsMTdUVkVsUmdnWDNMOFN1OEVCSElsREktV0FCNkhCeWVCeXdYdkV3c0daWHVLQ3FZZXBiVjBKakxSLS1KSkRNUlI4TDFDazRtYkxzVEJMZDhPRzlab29pcjY4Q2FpMlBiak11QV82dkdNTQ?oc=5" target="_blank">Unique Stanford Medicine-designed AI predicts cancer prognoses, responses to treatment</a>  <font color="#6f6f6f">Stanford Medicine</font>

Deep learning–based artificial intelligence models predict survival in patients with oral cavity squamous cell carcinoma
Naturegeneral

Deep learning–based artificial intelligence models predict survival in patients with oral cavity squamous cell carcinoma

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBhRVVtdjZDeWZ0LVBsQ05yYmQ5SVdzYXRoWS02dWpkbk5LVGZvSk1lajNfVHp2bVlyOHhDazY0WG9PVTQ2SXczZGYxVlBZaVNVam9aekM4bEdYQ0ZMNHBv?oc=5" target="_blank">Deep learning–based artificial intelligence models predict survival in patients with oral cavity squamous cell carcinoma</a>  <font color="#6f6f6f">Nature</font>

Early ctDNA Molecular Response May Predict Outcomes With Azenosertib in Ovarian Cancer
The ASCO Postgeneral

Early ctDNA Molecular Response May Predict Outcomes With Azenosertib in Ovarian Cancer

<a href="https://news.google.com/rss/articles/CBMixwFBVV95cUxPMGlUZldLUEpOTEtBdldYSkM3OG5heWxyS3ZvVTlBVk56RnRkaU4zQS1kMlNoVXlQZXZ6eUdzYjZfMk4yeDIzMHhDU2JlM29Dem1MSXRpM1pnMGk5cy1nRjlHMWg0NWVuRk13SktURlYxVnRSN2VSbW1lUUhZd1BmNEowSXZPX2t5Z1NQTGRodGhPVHB3dXY3cDRsdUVQcE0zenRnRGRCc3N0V1JCNlJTNlJ2ZU4zay1TQnlLSEtaY3VVS2RvRnN3?oc=5" target="_blank">Early ctDNA Molecular Response May Predict Outcomes With Azenosertib in Ovarian Cancer</a>  <font color="#6f6f6f">The ASCO Post</font>

MSK Research Highlights, November 6, 2024
Memorial Sloan Kettering Cancer Centergeneral

MSK Research Highlights, November 6, 2024

<a href="https://news.google.com/rss/articles/CBMidEFVX3lxTE5yZERJa2JWdXhMdl9rR2l3bC1sZE00LW85dVRwT3o0MTZOanREanFXNXp6MS1NUG9WYXRSUFlyOWJ4Si05TmtDWklucFpwczFSNi02aEtFMmFJZmVQWUNjN2NhRnJtcUg3NldVOUxUaWhQQXdQ?oc=5" target="_blank">MSK Research Highlights, November 6, 2024</a>  <font color="#6f6f6f">Memorial Sloan Kettering Cancer Center</font>

Predicting cancer outcomes with radiomics and artificial intelligence in radiology
Naturegeneral

Predicting cancer outcomes with radiomics and artificial intelligence in radiology

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9JRWJaWVY3VHdOTUxHTF9DWWRWOHJpRHRlUTFhUTZidThjTWZjWkpGVlFzeTl4bnBqck1IMHgya3hPS0V3Ymg3UmtNWUhRRVhwcjN5UzVEMElMQjBheWpB?oc=5" target="_blank">Predicting cancer outcomes with radiomics and artificial intelligence in radiology</a>  <font color="#6f6f6f">Nature</font>

Automated real-world data integration improves cancer outcome prediction
Natureworld

Automated real-world data integration improves cancer outcome prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5nTEx4UTZ2cER5MTZQSmJKLV9GZ0F1SzhxaWI2Z3F5MkZjZWdVTHhOUjBwZ1oyMTJZTVhlelZDNi14SUFPMVJIUG82aDk5a2lBTVVuemtibktRaEYtb2cw?oc=5" target="_blank">Automated real-world data integration improves cancer outcome prediction</a>  <font color="#6f6f6f">Nature</font>

Predicting prognosis for epithelial ovarian cancer patients receiving bevacizumab treatment with CT-based deep learning
Naturegeneral

Predicting prognosis for epithelial ovarian cancer patients receiving bevacizumab treatment with CT-based deep learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBLcER1WXNnWWRxaUhWMlFtREpCWmpXd0NsaHZadG1RUUFDcjZfVWcxX2owSnJvbWt4OE8zZUUyTXN6MEdTcUZ3RmFGMnNtV24xZ2p0cGxEUDhVR1ZyVU13?oc=5" target="_blank">Predicting prognosis for epithelial ovarian cancer patients receiving bevacizumab treatment with CT-based deep learning</a>  <font color="#6f6f6f">Nature</font>

A nomogram for predicting cancer-specific survival in patients with rectal mucinous adenocarcinoma following surgery
Naturegeneral

A nomogram for predicting cancer-specific survival in patients with rectal mucinous adenocarcinoma following surgery

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE80SmpLck1oMjVqMDlETkVqMy1TdGgyVkd3dVBLaDlmMXFVOWhBRzdNNzJrWFBSTWM5bTJMVC1KaldnM0h6NTZKb0RnaVpGVXB1WG94VlNRVW1NVzc2X05z?oc=5" target="_blank">A nomogram for predicting cancer-specific survival in patients with rectal mucinous adenocarcinoma following surgery</a>  <font color="#6f6f6f">Nature</font>

LORIS robustly predicts patient outcomes with immune checkpoint blockade therapy using common clinical, pathologic and genomic features
Natureworld

LORIS robustly predicts patient outcomes with immune checkpoint blockade therapy using common clinical, pathologic and genomic features

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE15NDh6NFRiQ0sxWXZheXM4OFJBQnFodG52RnNTN0xhTVBCLTFYYTB6UWszSndsdVBjU24yTXZfci1BT2dvM3JLT1BGemNVNGF6eHpuTW55Yy1lUlpoNnhB?oc=5" target="_blank">LORIS robustly predicts patient outcomes with immune checkpoint blockade therapy using common clinical, pathologic and genomic features</a>  <font color="#6f6f6f">Nature</font>

Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models
Naturegeneral

Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5faU5oSFctcHUyeHFyX0w4bFBEbmdfUVE3RHhUbUR6dmRMS0NuelpzQTRSTkZlT1NRWnJHUGRuaDUxNFZ4Yzc2ajRacUJNX3otemx0MDdUQ2hTOEY5YWlj?oc=5" target="_blank">Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models</a>  <font color="#6f6f6f">Nature</font>

The impact of AI on modern oncology from early detection to personalized cancer treatment | npj Precision Oncology
Naturetech

The impact of AI on modern oncology from early detection to personalized cancer treatment | npj Precision Oncology

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9uMU1UZ2xHVVpVS0E4STBpWmg1aTFFdkVHMEF2Vkp1SUs4clVjUzc3RFYzT3lTUnV4OXpkVVRpbkFDOWtVREtQbEJQRUhhcWNnNEZ4R3EtMHBQUHR6QnpZ?oc=5" target="_blank">The impact of AI on modern oncology from early detection to personalized cancer treatment | npj Precision Oncology</a>  <font color="#6f6f6f">Nature</font>

Development and validation of a risk model for effective immune and stromal related signature predicting prognosis of patients with ovarian cancer
Natureworld

Development and validation of a risk model for effective immune and stromal related signature predicting prognosis of patients with ovarian cancer

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1URURHd0VPU1p6M3NlcnhMZGhhQ1JfQ1hBX3lwaFFxdVlRczZZMFNXZ0hHVzBlNHpIRGVDZk5ZZmZrYTBQUGZYWlV0V3dyZTJMMm5JX0xQNjI0bDlPeDJj?oc=5" target="_blank">Development and validation of a risk model for effective immune and stromal related signature predicting prognosis of patients with ovarian cancer</a>  <font color="#6f6f6f">Nature</font>

Prediction of checkpoint inhibitor immunotherapy efficacy for cancer using routine blood tests and clinical data
Natureworld

Prediction of checkpoint inhibitor immunotherapy efficacy for cancer using routine blood tests and clinical data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5BdXBiWWVSaG5SeWNIRk5XV0hfWjl6Y0xHeGJmVFZqdzJmcEdxUENhWDgzMURQZHd4WkU0bW0xVE9fQVlhNkU2LTJsVEJQQ2dNTHY1bno5ZHV2MGlmdXdF?oc=5" target="_blank">Prediction of checkpoint inhibitor immunotherapy efficacy for cancer using routine blood tests and clinical data</a>  <font color="#6f6f6f">Nature</font>

Cancer-specific survival patterns in patients with bone metastasis: a registry-based analysis of 13,742 patients
Naturegeneral

Cancer-specific survival patterns in patients with bone metastasis: a registry-based analysis of 13,742 patients

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1ON1dETTJvWUNrTVRjdTE5d1RGZmhMNTV4RGh2R0diMi0waWxMLUs1bXFFYXBRbW1XM3RPZThKenB3REJCQ3lpWER6Z2FpSEFjeG00QlViR2RkcWtDbHFF?oc=5" target="_blank">Cancer-specific survival patterns in patients with bone metastasis: a registry-based analysis of 13,742 patients</a>  <font color="#6f6f6f">Nature</font>

A nomogram for predicting cancer-specific survival in patients with osteosarcoma as secondary malignancy
Naturegeneral

A nomogram for predicting cancer-specific survival in patients with osteosarcoma as secondary malignancy

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBubVZ6ellHWWctQzNlV0tNTUR3R0lBVWc0X29uLWRHMzBhMmJhbjN4T0FvWEJIMTU0ZFhfZEtzZXRSR09QMTUtV2Z1a3BGVzhOdWlNb2JXeDBFVXVsaTZv?oc=5" target="_blank">A nomogram for predicting cancer-specific survival in patients with osteosarcoma as secondary malignancy</a>  <font color="#6f6f6f">Nature</font>

Machine learning combined with multi-omics to identify immune-related LncRNA signature as biomarkers for predicting breast cancer prognosis | Scientific Reports
Natureworld

Machine learning combined with multi-omics to identify immune-related LncRNA signature as biomarkers for predicting breast cancer prognosis | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE44QWlEbER0Y0RHNXpVTXlfMDc1TGNKUldSOUdOT2dGN2ltbGxab0U1bDM4NnJQeHprbmFxOGVsSEtUR3VxbGNwM1B1bG5DU0FzY2doOXVfTElndm1ITTRn?oc=5" target="_blank">Machine learning combined with multi-omics to identify immune-related LncRNA signature as biomarkers for predicting breast cancer prognosis | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

Prediction of survival in patients with advanced, refractory colorectal cancer in treatment with trifluridine/tipiracil: real-world vs clinical trial data
Natureworld

Prediction of survival in patients with advanced, refractory colorectal cancer in treatment with trifluridine/tipiracil: real-world vs clinical trial data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE12emZIZ3VQd2pDcHhuY1p4NU5ROG16M25ZcmFmLWE1SzE1bVUwbW04aFI0WjZwWnBVYS1FSzVlVmVwekNSMXZMSVN4S1lDOEJWdllrcVAteGpCa2ZCNlRB?oc=5" target="_blank">Prediction of survival in patients with advanced, refractory colorectal cancer in treatment with trifluridine/tipiracil: real-world vs clinical trial data</a>  <font color="#6f6f6f">Nature</font>

The use of artificial intelligence models to predict survival in patients with laryngeal squamous cell carcinoma
Naturegeneral

The use of artificial intelligence models to predict survival in patients with laryngeal squamous cell carcinoma

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE93a3NSTkpPQWZsNXVSZDh1NE14T01YU3dYZnJQVElrRG9RREVvUkRBUklwNUFLX2gyRjFQSFFVczVXcGxIM1hMQUVweTJCc0tfT1FiUXN6SzNDS29ZXzA4?oc=5" target="_blank">The use of artificial intelligence models to predict survival in patients with laryngeal squamous cell carcinoma</a>  <font color="#6f6f6f">Nature</font>

Leveraging survival analysis and machine learning for accurate prediction of breast cancer recurrence and metastasis
Naturegeneral

Leveraging survival analysis and machine learning for accurate prediction of breast cancer recurrence and metastasis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB1cUloa1NkZTZUb2dYd2R5RzNnbVBvMjhMbW9CeTEyV0puRUVUVFZmS0RlN0VwZlJ1NGtoV1ZzTGVhWjhibHdFendPRFNmcklzQTRHT01sdDY5d2pINFlJ?oc=5" target="_blank">Leveraging survival analysis and machine learning for accurate prediction of breast cancer recurrence and metastasis</a>  <font color="#6f6f6f">Nature</font>

HER2-related biomarkers predict clinical outcomes with trastuzumab deruxtecan treatment in patients with HER2-expressing metastatic colorectal cancer: biomarker analyses of DESTINY-CRC01
Naturegeneral

HER2-related biomarkers predict clinical outcomes with trastuzumab deruxtecan treatment in patients with HER2-expressing metastatic colorectal cancer: biomarker analyses of DESTINY-CRC01

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9MWnFWNUpYQWRNdktZelBkY1E3Q3hhTXFCVjNEajRxc1dHNHBUZ2RpcVg5QmEzMThxRWt6SWRCZThxTEtUSWRWeW53Mkl5R1U2LWR1NW5LNDZqLWZ2Um5Z?oc=5" target="_blank">HER2-related biomarkers predict clinical outcomes with trastuzumab deruxtecan treatment in patients with HER2-expressing metastatic colorectal cancer: biomarker analyses of DESTINY-CRC01</a>  <font color="#6f6f6f">Nature</font>

Prediction of brain metastasis development with DNA methylation signatures
Naturetech

Prediction of brain metastasis development with DNA methylation signatures

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1pVkRXNFJxSm9fMXdrX20yV3pIa3BKUl9QSFFlSktCZFItajlLaGlmLUtKZ09EbXBES3I0OXpGN2tjVTBOdHRDUTBmd282Z2lsMlhzNFQ4QkRPWEFkUkhz?oc=5" target="_blank">Prediction of brain metastasis development with DNA methylation signatures</a>  <font color="#6f6f6f">Nature</font>

Predictive biomarkers for survival benefit with ramucirumab in urothelial cancer in the RANGE trial
Naturegeneral

Predictive biomarkers for survival benefit with ramucirumab in urothelial cancer in the RANGE trial

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1zdXVuMW4tOEVZT0hELUo1ZXlKM0Z2Mjd4T2lnQ3MwNHItdzdJbURsM0QyQzd1dEpGc2J6anc0b00yYWxObTZRdXF5UjRKQ0xyMktweXpBUS1sR0lIeFFF?oc=5" target="_blank">Predictive biomarkers for survival benefit with ramucirumab in urothelial cancer in the RANGE trial</a>  <font color="#6f6f6f">Nature</font>

Machine learning models for identifying predictors of clinical outcomes with first-line immune checkpoint inhibitor therapy in advanced non-small cell lung cancer
Natureworld

Machine learning models for identifying predictors of clinical outcomes with first-line immune checkpoint inhibitor therapy in advanced non-small cell lung cancer

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE12VVcwMF9yVUZGcW5xTFZuOUc1c3l6cjE0ZXdIN0F6WUVGTUo4OWhrcFlCZWlGMFVUeDBGV3JBWk9Rc2VXYVhRWGF0Uko1bHAtY2sxOUtIZ0xBTVFyaWxF?oc=5" target="_blank">Machine learning models for identifying predictors of clinical outcomes with first-line immune checkpoint inhibitor therapy in advanced non-small cell lung cancer</a>  <font color="#6f6f6f">Nature</font>

Predicting hepatocellular carcinoma survival with artificial intelligence
Naturegeneral

Predicting hepatocellular carcinoma survival with artificial intelligence

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBOVkVqWUpFeDJwRHdPUDBvMEw5NzFxalZSZnlnd2pzZ054eDlCcDE4ay1UYlBnZmNocC02Z2FPeFpZU0VRRk5GSHdCamZ5dXQzVUJHVkpCYnNvcmZ0RjE4?oc=5" target="_blank">Predicting hepatocellular carcinoma survival with artificial intelligence</a>  <font color="#6f6f6f">Nature</font>

Predicting outcomes for locally advanced rectal cancer treated with neoadjuvant chemoradiation with CT-based radiomics
Naturegeneral

Predicting outcomes for locally advanced rectal cancer treated with neoadjuvant chemoradiation with CT-based radiomics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE04MVpoMEdYYkRaaFpRSElQT3Mxb0dTbGZuckxCSkRWeU9FYmR5ZTZ0eE1QakxLSnJqOTBCUlNMb3pTSmVaVmJHdXhPcjVDdHVRaVpieml0RWFMSzhPUlRR?oc=5" target="_blank">Predicting outcomes for locally advanced rectal cancer treated with neoadjuvant chemoradiation with CT-based radiomics</a>  <font color="#6f6f6f">Nature</font>

Weight loss as a predictor of reduced survival in patients with lung cancer: a systematic review with meta-analysis
Natureworld

Weight loss as a predictor of reduced survival in patients with lung cancer: a systematic review with meta-analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBEMUtfOXVkQ2h3U20wSFZnbjItQ3R0YWMzbmJ2NEY2a0Jxd1dDajYyX1d3a1BFcEVSekJ2alUtTFh0NGNBS1RnQzJhWlVHZTV5dEl1QXlNdGpxeWh6dHRv?oc=5" target="_blank">Weight loss as a predictor of reduced survival in patients with lung cancer: a systematic review with meta-analysis</a>  <font color="#6f6f6f">Nature</font>

Effect of delayed treatment on survival of patients with head and neck squamous cell cancer
Naturegeneral

Effect of delayed treatment on survival of patients with head and neck squamous cell cancer

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9tcExScWJxNGtlYWVQaUZfc3EzZzNfV0dfTFZUX3JOd2RIVTNZbm54dG1OTFdMaEFwVXVUTEljWDlQbVdFYzVQcUNDc0c0dXkwZkk4LTcwcG9pZ2Ewdzkw?oc=5" target="_blank">Effect of delayed treatment on survival of patients with head and neck squamous cell cancer</a>  <font color="#6f6f6f">Nature</font>

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