I am very proud to be part of the amazing team of researchers, scientists and clinicians who are all co-authors of the important research publication just released in Nature Medicine. The paper documents changes in my brain tumour & blood before and after I received neoadjuvant systemic combination immunotherapy treatment, which occurred in 2023.
Everyone involved, including lead authors Georgina Long and Helen Rizos, used their expertise, knowledge and creative intellect to generate this important data just released.
Whilst the paper deals with the data from just one patient (me), ultimately a clinical trial of a large group of patients needs to be conducted to determine whether or not neoadjuvant (pretreatment) combination immunotherapy is clinically effective in (a subgroup of) brain cancer patients. I hope such a trial begins in the not too distant future.
Congratulations to everyone who has contributed to this research. What a fantastic achievement!
But this is only the beginning & much more research is required to improve treatment and outcomes and ultimately save lives.
@SydneyLHD@NthSydHealth@Sydney_Uni@COBLH
#glioblastoma
Introducing constellation mapped read technology. This new tech simplifies the NGS workflow with on-flow-cell library prep while unlocking long-range genomic insights from existing NovaSeq™ X systems.
Enhanced mapping. Ultra-long phasing. Better SV detection. https://t.co/03VHCiokmg
Introducing constellation mapped read technology. This new tech simplifies the NGS workflow with on-flow-cell library prep while unlocking long-range genomic insights from existing NovaSeq™ X systems.
Enhanced mapping. Ultra-long phasing. Better SV detection. https://t.co/03VHCiokmg
Meet the MiSeq i100 Series – the new standard in sequencing simplicity. With 3-step setup, onboard DRAGEN analysis, and same-day results, what will you discover next? https://t.co/AeYn4ck9NP
The 2024 #NobelPrize laureates in chemistry Demis Hassabis and John Jumper have successfully utilised artificial intelligence to predict the structure of almost all known proteins.
In 2020, Hassabis and Jumper presented an AI model called AlphaFold2. With its help, they have been able to predict the structure of virtually all the 200 million proteins that researchers have identified. Since their breakthrough, AlphaFold2 has been used by more than two million people from 190 countries. Among a myriad of scientific applications, researchers can now better understand antibiotic resistance and create images of enzymes that can decompose plastic.
Read more about their story: https://t.co/nWxcZs6wqC
🎉 Exciting news: TruSight Oncology Comprehensive (or TSO Comp, as we call it) has received US FDA approval! It’s the first comprehensive genomic profiling IVD kit with pan-cancer companion diagnostic (CDx) claims, paving the way for new advancements in oncology.
This is a huge milestone for Illumina and precision medicine. We moved past the single biomarker framework and we are now profiling hundreds of biomarkers simultaneously. This evolution is making personalized healthcare more scalable, accessible, and effective than ever before.
Title: The giant Australian beers depicted in the television show "The Simpsons" have actual counterparts available here in the United States. 😮
Method: We captured one such encounters next to an NSW Opal card for some comparative visualisations.
https://t.co/4urOQwtg5p
After installing all the bioinformatics and data science packages, my new laptop is getting a sticker transplantation* tonight.
Much to my surprise, I found a NSW National Park sticker at the San Diego campus. I am feeling very patriotic tonight 🐨 🦘
Lab Tour! I know I shouldn't be surprised. But...
@illumina has a room, full of sequencers, as far as you could lay your eyes on! From the big NovaSeq X to the little MiSeq.
One can only imagine the sort of data being generated here everyday!
And this is just ONE of the rooms😲
After working @illumina and living in two different Australian cities for many years.. we finally meet in San Diego. Nice to finally meet you @KevinWangStats