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Mashup Score: 0Program Guide – ASCO Meeting Program Guide - 2 year(s) ago
AuthorsShaji KumarDepartment of Hematology, Mayo Clinic Rochester, Rochester, MNShaji Kumar, Zihan Wei, Michael A. Thompson, Bradley Snyder, Matthias Weiss, Lynne I. Wagner, Lale Kostakoglu, S. Vincent RajkumarOrganizationsDepartment of Hematology, Mayo Clinic Rochester, Rochester, MN, Dana-Farber Cancer Institute, Boston, MA, Aurora Cancer Care, Advocate Aurora Health, Milwaukee, WI, Brown…
Source: meetings.asco.orgCategories: Hem/Oncs, Latest HeadlinesTweet
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Mashup Score: 1Program Guide – ASCO Meeting Program Guide - 2 year(s) ago
AuthorsMohamed HendawiAurora Cancer Care, Advocate Aurora Health, Milwaukee, WIMohamed Hendawi, Luke Peterson, Eyob ale Tadesse, Frank M. Wolf, Thomas D. Brown, Michael A. ThompsonOrganizationsAurora Cancer Care, Advocate Aurora Health, Milwaukee, WI, Syapse INC, San Francisco, CA, Syapse, San Francisco, CAAbstract DisclosuresResearch FundingNo funding receivedNone Background: Patients (pts)…
Source: meetings.asco.orgCategories: Hem/Oncs, Latest HeadlinesTweet
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Mashup Score: 3Program Guide – ASCO Meeting Program Guide - 2 year(s) ago
AuthorsMohamed HendawiAurora Cancer Care, Advocate Aurora Health, Milwaukee, WIMohamed Hendawi, Luke Peterson, Eyob ale Tadesse, Frank M. Wolf, Thomas D. Brown, Michael A. ThompsonOrganizationsAurora Cancer Care, Advocate Aurora Health, Milwaukee, WI, Syapse INC, San Francisco, CA, Syapse, San Francisco, CAAbstract DisclosuresResearch FundingNo funding receivedNone Background: Patients (pts)…
Source: meetings.asco.orgCategories: Hem/Oncs, Latest HeadlinesTweet
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Mashup Score: 1Leveraging machine learning technology to efficiently identify and match patients for precision oncology clinical trials. - 2 year(s) ago
e13588 Background: Pre-screening for clinical trials is becoming more challenging as inclusion/exclusion criteria becomes increasingly complex. Oncology precision medicine provides an exciting opportunity to simplify this process and quickly match patients with trials by leveraging machine learning technology. The Tempus TIME Trial site network matches patients to relevant, open, and recruiting…
Source: Journal of Clinical OncologyCategories: Hem/Oncs, Latest HeadlinesTweet
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Mashup Score: 1Leveraging machine learning technology to efficiently identify and match patients for precision oncology clinical trials. - 2 year(s) ago
e13588 Background: Pre-screening for clinical trials is becoming more challenging as inclusion/exclusion criteria becomes increasingly complex. Oncology precision medicine provides an exciting opportunity to simplify this process and quickly match patients with trials by leveraging machine learning technology. The Tempus TIME Trial site network matches patients to relevant, open, and recruiting…
Source: Journal of Clinical OncologyCategories: Hem/Oncs, Latest HeadlinesTweet
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Mashup Score: 0Leveraging machine learning technology to efficiently identify and match patients for precision oncology clinical trials. - 2 year(s) ago
e13588 Background: Pre-screening for clinical trials is becoming more challenging as inclusion/exclusion criteria becomes increasingly complex. Oncology precision medicine provides an exciting opportunity to simplify this process and quickly match patients with trials by leveraging machine learning technology. The Tempus TIME Trial site network matches patients to relevant, open, and recruiting…
Source: Journal of Clinical OncologyCategories: Hem/Oncs, Latest HeadlinesTweet
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Mashup Score: 0Program Guide – ASCO Meeting Program Guide - 2 year(s) ago
AuthorsEyob ale TadesseAurora Cancer Care, Advocate Aurora Health, Milwaukee, WIEyob ale Tadesse, Kayla Heslin, Mohamed Hendawi, Luke Peterson, Frank M. Wolf, Thomas D. Brown, Michael A. ThompsonOrganizationsAurora Cancer Care, Advocate Aurora Health, Milwaukee, WI, Advocate Aurora Health, Milwaukee, WI, Syapse INC, San Francisco, CA, Syapse, San Francisco, CAAbstract DisclosuresResearch…
Source: meetings.asco.orgCategories: Hem/Oncs, Latest HeadlinesTweet
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Mashup Score: 1Leveraging machine learning technology to efficiently identify and match patients for precision oncology clinical trials. - 2 year(s) ago
e13588 Background: Pre-screening for clinical trials is becoming more challenging as inclusion/exclusion criteria becomes increasingly complex. Oncology precision medicine provides an exciting opportunity to simplify this process and quickly match patients with trials by leveraging machine learning technology. The Tempus TIME Trial site network matches patients to relevant, open, and recruiting…
Source: Journal of Clinical OncologyCategories: Hem/Oncs, Latest HeadlinesTweet
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Mashup Score: 1Leveraging machine learning technology to efficiently identify and match patients for precision oncology clinical trials. - 2 year(s) ago
e13588 Background: Pre-screening for clinical trials is becoming more challenging as inclusion/exclusion criteria becomes increasingly complex. Oncology precision medicine provides an exciting opportunity to simplify this process and quickly match patients with trials by leveraging machine learning technology. The Tempus TIME Trial site network matches patients to relevant, open, and recruiting…
Source: Journal of Clinical OncologyCategories: Hem/Oncs, Latest HeadlinesTweet
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Mashup Score: 1Leveraging machine learning technology to efficiently identify and match patients for precision oncology clinical trials. - 2 year(s) ago
e13588 Background: Pre-screening for clinical trials is becoming more challenging as inclusion/exclusion criteria becomes increasingly complex. Oncology precision medicine provides an exciting opportunity to simplify this process and quickly match patients with trials by leveraging machine learning technology. The Tempus TIME Trial site network matches patients to relevant, open, and recruiting…
Source: Journal of Clinical OncologyCategories: Hem/Oncs, Latest HeadlinesTweet
#EAonc ECOG-ACRIN EAA181: Effective quadruplet utilization after treatment evaluation (EQUATE) - a Ph3 RCT for newly diagnosed multiple myeloma (NDMM) not intended for early autologous SCT - @myelomaMD et al. @VincentRK #ASCO21 Abs TPS8052 https://t.co/iLQt2usOz5 #mmsm