Cristian Coarfa (@ccoarfa) 's Twitter Profile
Cristian Coarfa

@ccoarfa

Associate Professor, Bioinformatics, Dan L Duncan Cancer Center, Center for Precision Environmental Health, Baylor College of Medicine

ID: 1178867797545361408

calendar_today01-10-2019 03:02:47

344 Tweet

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Pavlos Msaouel (@pavlosmsaouel) 's Twitter Profile Photo

1/5 Excited to activate this week our fourth clinical trial designed for #RenalMedullaryCarcinoma (RMC). It will also separately enroll patients with epithelioid sarcoma, another rare but deadly cancer defined by loss of the SMARCB1 tumor suppressor: clinicaltrials.gov/study/NCT06444…

1/5 Excited to activate this week our fourth clinical trial designed for #RenalMedullaryCarcinoma (RMC). It will also separately enroll patients with epithelioid sarcoma, another rare but deadly cancer defined by loss of the SMARCB1 tumor suppressor: clinicaltrials.gov/study/NCT06444…
Cristian Coarfa (@ccoarfa) 's Twitter Profile Photo

Very grateful to see this study published, and also grateful for our collaboration with Pavlos Msaouel lab ! Next, an even deeper dive into the epigenetics of RMC

Mirrors of Medicine (@mirrorsmed) 's Twitter Profile Photo

CA-125 as a Biomarker in Renal Medullary Carcinoma: Integrated Molecular Profiling, Functional Characterization, and Prospective Clinical Validation out on Clinical Cancer Research aacrjournals.org/clincancerres/… This study explores potential biomarkers 🧬for early detection and

CA-125 as a Biomarker in Renal Medullary Carcinoma: Integrated Molecular Profiling, Functional Characterization, and Prospective Clinical Validation
out on Clinical Cancer Research 

aacrjournals.org/clincancerres/…

This study explores potential biomarkers 🧬for early detection and
TMC Digestive Diseases Center (@tmcddc) 's Twitter Profile Photo

Congratulations to our #GIresearch symposium poster contest winners! 🥇 Luqiong Wang, BCMHouston 🥈 Lauren Lynch, Baylor College of Medicine 🥉 Sohini Banerjee, Baylor College of Medicine It was close competition! We're lucky to have so many scientists at our institutions 🤠

Congratulations to our #GIresearch symposium poster contest winners!

🥇 Luqiong Wang, <a href="/bcmhouston/">BCMHouston</a>
🥈 Lauren Lynch, Baylor College of Medicine
🥉 Sohini Banerjee, Baylor College of Medicine

It was close competition! We're lucky to have so many scientists at our institutions 🤠
Cristian Coarfa (@ccoarfa) 's Twitter Profile Photo

Impactful work with the Pavlos Msaouel lab, based on epigenomic and transcriptomic integration. We know that science is beautiful, and when editors pick our figures for cover it it further confirms it 🫶

Cristian Coarfa (@ccoarfa) 's Twitter Profile Photo

Thank you Na Li for this exciting collaboration on inflammasome activation in heart failure. This article, among many strengths, follows up very creatively and convincingly on cell-cell communication alterations inferred using scRNASeq data From the Labs at Baylor College of Medicine

Google AI (@googleai) 's Twitter Profile Photo

Today, in collaboration w/ colleagues at the Institute of Science and Technology Austria (ISTA), we report the first-ever method for using light microscopy to comprehensively map all the neurons & their connections in a block of mouse brain tissue. More →goo.gle/4maUNUs

Today, in collaboration w/ colleagues at the Institute of Science and Technology Austria (ISTA), we report the first-ever method for using light microscopy to comprehensively map all the neurons &amp; their connections in a block of mouse brain tissue. More →goo.gle/4maUNUs
Ruxandra Teslo 🧬 (@ruxandrateslo) 's Twitter Profile Photo

This is an amazing paper from the groups of Anshul Kundaje (anshulkundaje@bluesky) & Scott Boyd and an example of how AI can be used well in biology. Basically, they are able to predict disease status (e.g. lupus, Covid, HIV, influenza) from BCRseq and TCRseq. I think this has great implications.

This is an amazing paper from the groups of <a href="/anshulkundaje/">Anshul Kundaje (anshulkundaje@bluesky)</a> &amp; Scott Boyd and an example of how AI can be used well in biology. Basically, they are able to predict disease status (e.g. lupus, Covid, HIV, influenza) from BCRseq and TCRseq. I think this has great implications.