Hugely interesting. With a recent cancer diagnosis, I really value information like this. E.g. it's probably not new science but in the last few days, NHS England announced it's able to cut radiotherapy sessions for prostate cancer from 20 to 5, saving a lot of appointment time that can be used for other patients. Thanks for this newsletter, it's much appreciated.
You need to slow down or break these up, I can only have my mind blown so many times in one article! But seriously, thanks very much for this amazing update. What a time to be alive!
Biological systems preserve themselves by enforcing coherence — cells, organisms, and minds all maintain identity by filtering, selecting, and stabilizing patterns. Narrative is the human version of this mechanism: it binds the inner point of view to the shared world, preserving coherence the way genomes preserve form.
Just wow and thanks for this enlightening write-up. I have a couple of questions: 1. How do you decide what to include? 2. Do you read the whole paper and only then include it here? 3. Do you use AI to learn? 4. If yes, how exactly? I am myself interesting in science journalism but I find that reading a single paper takes time so I wonder how does someone or a team read so much given their busy schedules.
“This progress seems like an odd contrast with the cuts we’re seeing to science in the US, including to the National Cancer Institute, which is spending 80 percent less this year than its typical pace. It was responsible for funding fundamental research that eventually led to some of the breakthroughs in this post, including 1980s research into KRAS, which led to new pancreatic cancer drugs”
But half of Americans voted for Trump, even after all of the atrocities of the previous eight years, and 40% regularly vote Republican, but I guess bigger yachts for billionaires is more important than basic scientific and medical research.
“This progress seems like an odd contrast with the cuts we’re seeing to science in the US, including to the National Cancer Institute, which is spending 80 percent less this year than its typical pace. It was responsible for funding fundamental research that eventually led to some of the breakthroughs in this post, including 1980s research into KRAS, which led to new pancreatic cancer drugs”
But half of Americans voted for Trump, even after all of the atrocities of the previous eight years, and 40% regularly vote Republican, but I guess bigger yachts for billionaires is more important than basic scientific and medical research.
The Galleri read is the sharpest thing here, and you were right not to let the quadrupled detection rate carry the headline. The reason that instinct is correct: detection rate and the trial's actual endpoint measure different things.
A test can quadruple what it finds and shift the stage distribution purely through lead time and overdiagnosis, without changing when anyone would have died. That's why the flat stage III-IV combined count is the load-bearing number, not the I-II rise. Until a mortality readout lands, the stage shift you flagged is the honest ceiling on what can be claimed.
Such a wonderful roundup! One aspect that particularly stood out to me is how many of the recent advances point toward a more dynamic view of biology. Cells are no longer seen as static entities but as adaptive systems responding continuously to their environment through signaling networks, epigenetic modifications, and metabolic interactions. Whether studying aging, cancer, development, or immunity, a recurring theme emerges: biological processes are deeply interconnected, and understanding those connections often reveals entirely new therapeutic possibilities.
I also find it fascinating that some of the most exciting discoveries arise not from completely new concepts, but from better tools. Single-cell sequencing, proteomics, spatial transcriptomics, machine learning, and increasingly sophisticated imaging techniques are allowing us to observe biology with unprecedented resolution. Many longstanding questions are now being revisited as we finally possess the technologies necessary to see phenomena that were previously invisible. In many ways, scientific progress is as much about improved measurement as it is about new ideas.
Another theme I appreciate is the increasing emphasis on prediction rather than reaction. Across oncology, neuroscience, infectious disease, and aging research, there is a clear movement toward identifying biological changes earlier and intervening before pathology becomes clinically apparent. This shift from treating disease to preserving health may ultimately prove to be one of the defining transformations of 21st-century medicine.
Thank you for sharing such an insightful overview!
Hugely interesting. With a recent cancer diagnosis, I really value information like this. E.g. it's probably not new science but in the last few days, NHS England announced it's able to cut radiotherapy sessions for prostate cancer from 20 to 5, saving a lot of appointment time that can be used for other patients. Thanks for this newsletter, it's much appreciated.
You need to slow down or break these up, I can only have my mind blown so many times in one article! But seriously, thanks very much for this amazing update. What a time to be alive!
It's a lot to digest but incredibly exciting!
Thanks for sharing this roundup!!
What a crazy amount of inspiring news!
Love to read about this progress, thank you for compiling!
Wow, your posts are so well-researched and show knowledge about diverse scientific topics! Thanks for sharing!
Wonderful article and I loved the last few paragraphs. Thank you!
Biological systems preserve themselves by enforcing coherence — cells, organisms, and minds all maintain identity by filtering, selecting, and stabilizing patterns. Narrative is the human version of this mechanism: it binds the inner point of view to the shared world, preserving coherence the way genomes preserve form.
This is wild!!!
Just wow and thanks for this enlightening write-up. I have a couple of questions: 1. How do you decide what to include? 2. Do you read the whole paper and only then include it here? 3. Do you use AI to learn? 4. If yes, how exactly? I am myself interesting in science journalism but I find that reading a single paper takes time so I wonder how does someone or a team read so much given their busy schedules.
“This progress seems like an odd contrast with the cuts we’re seeing to science in the US, including to the National Cancer Institute, which is spending 80 percent less this year than its typical pace. It was responsible for funding fundamental research that eventually led to some of the breakthroughs in this post, including 1980s research into KRAS, which led to new pancreatic cancer drugs”
But half of Americans voted for Trump, even after all of the atrocities of the previous eight years, and 40% regularly vote Republican, but I guess bigger yachts for billionaires is more important than basic scientific and medical research.
“This progress seems like an odd contrast with the cuts we’re seeing to science in the US, including to the National Cancer Institute, which is spending 80 percent less this year than its typical pace. It was responsible for funding fundamental research that eventually led to some of the breakthroughs in this post, including 1980s research into KRAS, which led to new pancreatic cancer drugs”
But half of Americans voted for Trump, even after all of the atrocities of the previous eight years, and 40% regularly vote Republican, but I guess bigger yachts for billionaires is more important than basic scientific and medical research.
The Galleri read is the sharpest thing here, and you were right not to let the quadrupled detection rate carry the headline. The reason that instinct is correct: detection rate and the trial's actual endpoint measure different things.
A test can quadruple what it finds and shift the stage distribution purely through lead time and overdiagnosis, without changing when anyone would have died. That's why the flat stage III-IV combined count is the load-bearing number, not the I-II rise. Until a mortality readout lands, the stage shift you flagged is the honest ceiling on what can be claimed.
Such a wonderful roundup! One aspect that particularly stood out to me is how many of the recent advances point toward a more dynamic view of biology. Cells are no longer seen as static entities but as adaptive systems responding continuously to their environment through signaling networks, epigenetic modifications, and metabolic interactions. Whether studying aging, cancer, development, or immunity, a recurring theme emerges: biological processes are deeply interconnected, and understanding those connections often reveals entirely new therapeutic possibilities.
I also find it fascinating that some of the most exciting discoveries arise not from completely new concepts, but from better tools. Single-cell sequencing, proteomics, spatial transcriptomics, machine learning, and increasingly sophisticated imaging techniques are allowing us to observe biology with unprecedented resolution. Many longstanding questions are now being revisited as we finally possess the technologies necessary to see phenomena that were previously invisible. In many ways, scientific progress is as much about improved measurement as it is about new ideas.
Another theme I appreciate is the increasing emphasis on prediction rather than reaction. Across oncology, neuroscience, infectious disease, and aging research, there is a clear movement toward identifying biological changes earlier and intervening before pathology becomes clinically apparent. This shift from treating disease to preserving health may ultimately prove to be one of the defining transformations of 21st-century medicine.
Thank you for sharing such an insightful overview!
Amazing medical breakthroughs! Expect to see a lot less of this as the government throttles this kind of research.