A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients with cancer with a high degree of accuracy, according to a new @ScienceTM study involving 2,600+ samples. https://t.co/OGXk1opeRS https://t.co/A8skBsl4gB
Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer.
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Jan 2023 – Jan 2025Where it's discussed
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Several discussions emphasize the innovative use of machine learning and fragmentation patterns in cell-free DNA to improve cancer detection, referencing the high accuracy rates mentioned in the publication, such as AUC scores of 0.91 and 0.87 for early-stage detection. The tone is optimistic and forward-thinking, with phrases like 'promise for screening' and 'game-changing' reflecting a strong belief in the potential impact of these findings on future cancer diagnostics.
Most discussions show strong support for the findings and methods presented in the publication.
The discussions highlight a keen interest in the application and implications of cell-free DNA analysis for cancer diagnostics.
Participants demonstrate deep engagement with the content by referencing specific methods, results, and potential real-world applications.
Many contributors believe that the study represents a significant advancement in cancer detection and could greatly influence future clinical practices.
Abstract in brief
- Genome-wide fragmentation patterns of cell-free DNA (cfDNA) in plasma are influenced by the cellular origin, which varies between healthy and cancerous cells, presenting an opportunity for new cancer diagnostics.
- The study analyzed cfDNA from 2,668 samples, including those from healthy individuals and patients with 11 different cancer types, using a novel metric called information-weighted fraction of aberrant fragments (iwFAF) to identify tumor-derived DNA in blood samples.
- A machine learning model was developed using iwFAF and specific nucleotide frequencies, achieving a high accuracy in distinguishing between healthy and cancer patients, with an AUC of 0.91 for any cancer stage and 0.87 for early-stage detection, while requiring only
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Most liked on X and BlueskyA machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients with cancer with a high degree of accuracy, according to a new @ScienceTM study involving 2,600+ samples. https://t.co/eGJWH48F7U https://t.co/dh4rr8K2bC
fragmentation patterns in cfDNA can distinguish patients with cancer with a high degree of accuracy @ScienceTM #TipsForNewDocs #MedEd #MedTwitter #medicine #medical #medicare #health #healthcare #FOAMed #ClinicalPearl #clinicaltips #MedStudents #Cancer https://t.co/aD6OzJs5LE https://t.co/DtmQVhGOrz
honored to receive the Bothwell prize from @McArdleLab @UWCarbone awarded in memory of Claire Bothwell, an advocate for the potential of science to improve cancer outcomes. Original and follow-up studies: https://t.co/Jt9GESt5rd https://t.co/dh928URdCc https://t.co/saXM8b01oY https://t.co/xrgQHYaZmH
A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients with cancer with a high degree of accuracy, according to a new study from the @MurtazaMDPhD lab involving 2,600+ samples. @WiscSurgery https://t.co/Ia4pbsceNl https://t.co/1iZwCoOTcn
Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer https://t.co/tVogATrfGY https://t.co/qWai1AOdQT
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Advancements in Cancer Diagnosis Using cfDNA Analysis
This video discusses groundbreaking research on cell-free DNA (cfDNA) analysis in cancer diagnostics. By examining cfDNA from 2,668 samples, the study highlights how genomic fragmentation patterns can distinguish…
Can fragmentation patterns of cell-free DNA be used to identify the presence of tumor-derived DNA in blood? Yes! Read more in Sci Transl Med: https://t.co/6XlWqFQukm ThruPLEX kits were used for library prep. Learn: https://t.co/aSfuY2pcjf #AAAS #CancerResearch #NGS #DNAseq https://t.co/KHC2L1gs3E
RT @MurtazaMDPhD: honored to receive the Bothwell prize from @McArdleLab @UWCarbone awarded in memory of Claire Bothwell, an advocate for t…
RT @MurtazaMDPhD: honored to receive the Bothwell prize from @McArdleLab @UWCarbone awarded in memory of Claire Bothwell, an advocate for t…
RT @MurtazaMDPhD: honored to receive the Bothwell prize from @McArdleLab @UWCarbone awarded in memory of Claire Bothwell, an advocate for t…
honored to receive the Bothwell prize from @McArdleLab @UWCarbone awarded in memory of Claire Bothwell, an advocate for the potential of science to improve cancer outcomes. Original and follow-up studies: https://t.co/Jt9GESt5rd https://t.co/dh928URdCc https://t.co/saXM8b01oY https://t.co/xrgQHYaZmH
RT @MurtazaMDPhD: The project utilized GALYFRE (Genomewide Analysis of Fragment Ends), a plasma DNA fragmentation test we described in an @…
The project utilized GALYFRE (Genomewide Analysis of Fragment Ends), a plasma DNA fragmentation test we described in an @ScienceTM paper published last year, re-trained and validated now for detection of pancreatic cancer https://t.co/TSHXx81hwk
RT @EACRnews: Learn more about ‘Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer’…
Learn more about ‘Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer’: https://t.co/cXXIsPYsmR https://t.co/Z5KYkjSxhg
Trails of DNA breadcrumbs in the blood lead to ID’ing cancer in patients. Scientists @UW_CHGPM show, for the 1st time, that #CellFreeDNA fragment patterns differentiate tumor from healthy cells. Read: https://t.co/3lSnNETf4t #Fragmentomics #Biomarkers #LiquidBiopsy #TGSThursday
PubMed_ Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer https://t.co/dhU2gT3OZv
RT @EricTopol: Cell-free DNA fragmentation patterns and sequencing from small amounts of plasma hold considerable promise for screening and…
"We observed an area under the receiver operative characteristic curve (AUC) of 0.91 for detection of cancer at any stage & an AUC of 0.87 for detection of stage I cancer." good news for EARLY detection of circulating cancer cells using machine learning. https://t.co/mw0ujUeosk
RT @medical_xpress: DNA fragments in blood promise cheap, easy test for #cancer @sciencetm https://t.co/LQkyLcC4ff https://t.co/wHrYvZr1AU
RT @isciverse: fragmentation patterns in cfDNA can distinguish patients with cancer with a high degree of accuracy @ScienceTM #TipsForNewD…
RT @isciverse: fragmentation patterns in cfDNA can distinguish patients with cancer with a high degree of accuracy @ScienceTM #TipsForNewD…
RT @isciverse: fragmentation patterns in cfDNA can distinguish patients with cancer with a high degree of accuracy @ScienceTM #TipsForNewD…
RT @isciverse: fragmentation patterns in cfDNA can distinguish patients with cancer with a high degree of accuracy @ScienceTM #TipsForNewD…
RT @isciverse: fragmentation patterns in cfDNA can distinguish patients with cancer with a high degree of accuracy @ScienceTM #TipsForNewD…
RT @isciverse: fragmentation patterns in cfDNA can distinguish patients with cancer with a high degree of accuracy @ScienceTM #TipsForNewD…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @isciverse: fragmentation patterns in cfDNA can distinguish patients with cancer with a high degree of accuracy @ScienceTM #TipsForNewD…
RT @isciverse: fragmentation patterns in cfDNA can distinguish patients with cancer with a high degree of accuracy @ScienceTM #TipsForNewD…
RT @isciverse: fragmentation patterns in cfDNA can distinguish patients with cancer with a high degree of accuracy @ScienceTM #TipsForNewD…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @isciverse: fragmentation patterns in cfDNA can distinguish patients with cancer with a high degree of accuracy @ScienceTM #TipsForNewD…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @isciverse: fragmentation patterns in cfDNA can distinguish patients with cancer with a high degree of accuracy @ScienceTM #TipsForNewD…
Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer https://t.co/xZmy1H1Ijd
fragmentation patterns in cfDNA can distinguish patients with cancer with a high degree of accuracy @ScienceTM #TipsForNewDocs #MedEd #MedTwitter #medicine #medical #medicare #health #healthcare #FOAMed #ClinicalPearl #clinicaltips #MedStudents #Cancer https://t.co/aD6OzJs5LE https://t.co/DtmQVhGOrz
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer https://t.co/xZmy1H1atF
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients with cancer with a high degree of accuracy, according to a new @ScienceTM study involving 2,600+ samples. https://t.co/OGXk1opeRS https://t.co/A8skBsl4gB
RT @PJ_Muncaster: Machine learning model differentiates healthy individuals from patients with cancer. https://t.co/Ny3dD6u5cC #cdnpoli #ML…
RT @UWMSTP: Dr @MurtazaMDPhD - A blood test for cancer shows promise thanks to machine learning https://t.co/DO5aN8GLmZ via @uwmadison @Mur…
RT @VivekSubbiah: Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer https://t.co/l…
EARLY DETECTION: analysis of fragmentation patterns (which are influenced by tissue-specific chromatin accessibility) has the potential to improve the accuracy of circulating tumour DNA for the early detection of cancer. https://t.co/kITArC5OGo
RT @DrImranSheikh: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients w…
A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients with cancer with a high degree of accuracy, according to a new @ScienceTM study involving 2,600+ samples. https://t.co/sV254LaBGS https://t.co/CrrUkpH33p
Machine learning model differentiates healthy individuals from patients with cancer. https://t.co/Ny3dD6u5cC #cdnpoli #ML #AI #BCHealthcare #Cancer #diagnostics
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
RT @ScienceMagazine: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients…
A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients with cancer with a high degree of accuracy, according to a new @ScienceTM study involving 2,600+ samples. https://t.co/eGJWH48F7U https://t.co/dh4rr8K2bC
RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
RT @EricTopol: Cell-free DNA fragmentation patterns and sequencing from small amounts of plasma hold considerable promise for screening and…
Dr @MurtazaMDPhD - A blood test for cancer shows promise thanks to machine learning https://t.co/DO5aN8GLmZ via @uwmadison @MurtazaMDPhD https://t.co/moAOTHg18s
RT @EricTopol: Cell-free DNA fragmentation patterns and sequencing from small amounts of plasma hold considerable promise for screening and…
RT @EricTopol: Cell-free DNA fragmentation patterns and sequencing from small amounts of plasma hold considerable promise for screening and…
RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
RT @EricTopol: Cell-free DNA fragmentation patterns and sequencing from small amounts of plasma hold considerable promise for screening and…
https://t.co/lLKDa1ok1q
RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer | Science Translational Medicine @mariafa36362983 https://t.co/vsR4xoav71
RT @ScienceTM: A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients with…
A machine learning platform for #CancerTesting that analyzes fragmentation patterns in #cfDNA can distinguish patients with cancer with a high degree of accuracy, according to a new study from the @MurtazaMDPhD lab involving 2,600+ samples. @WiscSurgery https://t.co/Ia4pbsceNl https://t.co/1iZwCoOTcn
RT @EricTopol: Cell-free DNA fragmentation patterns and sequencing from small amounts of plasma hold considerable promise for screening and…
RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer https://t.co/pVzevCECgU https://t.co/o1sgkSuDBL
RT @EricTopol: Cell-free DNA fragmentation patterns and sequencing from small amounts of plasma hold considerable promise for screening and…
RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
RT @EricTopol: Cell-free DNA fragmentation patterns and sequencing from small amounts of plasma hold considerable promise for screening and…
RT @medical_xpress: DNA fragments in blood promise cheap, easy test for #cancer @sciencetm https://t.co/LQkyLcC4ff https://t.co/wHrYvZr1AU
RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
RT @MurtazaMDPhD: Happy to share our new @ScienceTM paper. It turns out simply measuring plasma DNA fragments that break at unexpected posi…
Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer https://t.co/ljUxAoj664
Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer https://t.co/tVogATrfGY https://t.co/qWai1AOdQT
Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer https://t.co/2IFnoxVk8c
Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer https://t.co/RFbShhT0py https://t.co/UI77dz3qQG