MosheArditiMD retweeted
It's time, calling for a “Rebuild American Science Act”:
- Double the NIH & NSF budgets
- Limits on executive interference
- End forward funding
- Rebuild the research training pipeline
- Full transparency of success rates
- Permanent H-1B fee exemption for universities
MosheArditiMD retweeted
Cover Story | Inflammation as a Treatable Target: The Rise of Cardio-Immunology - American College of Cardiology acc.org/Latest-in-Cardiology…
Inspiring story @UVACVRC
MosheArditiMD retweeted
What comes after M1/M2? In our Perspective with @FGinhoux in @ImmunityCP we explore how single-cell technologies and AI can decode the gene programs macrophages use across tissues & microenvironments, and how this modular view could transform immunotherapy
cell.com/immunity/abstract/S…
MosheArditiMD retweeted
2nd message: Vaccines led to 40% of the global decline in infant mortality attributable to vaccination. Now we are learning they may also protect against dementia. More reason to deepen our understanding of vaccine biology!
MosheArditiMD retweeted
Great summary of studies linking vaccination to reduced dementia risk with 2 messages: 1/Peripheral inflammation contribute to neuroinflammation, cognitive decline & dementia. Controlling systemic inflammation may be key to healthy brain aging (1/2) pnas.org/doi/10.1073/pnas.26…
MosheArditiMD retweeted
Online now: Embracing macrophage complexity for research and translation dlvr.it/TVxZsp
MosheArditiMD retweeted
Replying to @NobelPrize @skdh
MosheArditiMD retweeted
BREAKING NEWS
The 2026 #NobelPrize in Physiology or Medicine has been awarded to Karl Deisseroth, Peter Hegemann and Georg Nagel “for their discoveries concerning light-gated ion channels and optogenetics.”
MosheArditiMD retweeted
Fourth question on AI.
One of the great promises of AI is the discovery of new drugs and cures, so that we can live longer and healthier lives. If and when this becomes a reality, it would indeed be a big achievement.
These potential health benefits are often invoked to justify current investments (and lack of regulations). Some even argue that slowing down AI would harm humanity by delaying these benefits. (See a16z.com/the-techno-optimist…).
This raises another uncomfortable question: can we justify rapid and large AI investments based on health benefits?
Here is why I think this is an uncomfortable question.
First, despite significant effort, AI has so far produced few gains in drug discovery or new cures. A fascinating new paper by Ryan Hill and Carolyn Stein documents significant (downstream) scientific work on proteins whose structures AlphaFold predicted. But the authors conclude “we find no evidence so far that more applied, early-stage drug development is targeting these proteins.” (See their paper here papers.ssrn.com/sol3/papers.…).
This thought-provoking post by Daphne Koller explains the difficulties that AI is currently facing in drug discovery. Koller emphasizes that AI-based research is focused on the last layer of drug development (creating new molecular entities for already well-understood therapeutic modalities), rather than targeting new disease mechanisms (see deepphenotype.substack.com/p…). Understanding disease mechanisms is harder because there is much less data on it, and this endeavor requires more innovative approaches. It remains an open question whether current AI models are capable of doing this.
Second and more importantly, if you want to improve life expectancy and health in the United States, there is plenty of low hanging fruit and diverting some of the huge investments going to AI for this purpose would likely do much more for health outcomes.
The United States has the lowest life expectancy at birth among large rich economies. Americans live about five years less, in expectation, than the citizens of Switzerland, Sweden, Japan, Italy, South Korea and several other industrialized countries, and most of the gap comes from deaths before age of 70 due to chronic diseases, overdoses and other preventable causes (see, for example, healthsystemtracker.org/char…).
These largely reflect failures in US public health: preventable problems, unhealthy diets, insufficient immunization rates, poor access to primary care; and poor information about health. The country spends much more than other peer economies on healthcare, but too little and too ineffectively on public health (here is a reference to my own work on this: aeaweb.org/articles?id=10.12…).
Could we, and should we, divert some of the massive investments in AI towards public health if what we want is better health and longer lives for Americans? (And yes, new drugs will benefit citizens of other countries as well, but they can also invest more in public health and the bulk of global AI spending is currently in the United States).
MosheArditiMD retweeted
I just signed an executive order permanently declaring Artificial Intelligence “Artificial Intelligence” in California.
You’re welcome, America.
MosheArditiMD retweeted
I was invited to address the @UN Security Council this afternoon to discuss the unprecedented threat posed by uncontrolled frontier AI agents.
Humanity has summoned the courage and wisdom to manage catastrophic risks before. This is one of those moments, far bigger than any personal, commercial, or national interest. The choices we make about this technology today will shape generations to come. We must act now.
MosheArditiMD retweeted
They used 1000 Mythos agents to prove that yep, we can find tandem repeats at 100X the cost of existing bioinformatics pipelines! Then they showed some RNAs exist but didn't do any (fairly easy) experiments to see if they actually do anything.
People have been finding CRISPR-like elements for years but AFAIK the only one that's actually CRISPR-like in function is CRISPR. Glad Claude can find the noise just as well as existing methods. The question is can Anthropic actually do the biology required to distinguish the signals.
MosheArditiMD retweeted
Anthropic used really expensive software to find something humans had already hypothesized & still didn’t demonstrate anything biologically significant.
Love AI for bio but the gaps are experimental & they didn’t do the experiments to fill them. As usual, claims are premature.
as someone who's excited about ai-enabled science discovery, i find @AnthropicAI's framing of this very very confusing, and the technical report completely lacking in true scientific spirit and integrity @DarioAmodei @mgdurrant
1. first, credit where real credit is due:
- Korn, Hillhouse, Sun & Gill were the first to report a novel clade of 3 S. aureus jumbo phages, all encoding a retron-like RT.
- for one of the phages they looked at more closely (MarsHill), they also were the first to identify a 1.2 kb upstream noncoding region which they "hypothesized to contain the RT-associated noncoding RNA (ncRNA)".
- they also considered whether this RT + ncRNA containing region could be part of an antiphage defense system but they weren't able to identify a protein partner at the time
- screenshot from the original paper in thread
2. so at this point, there's already a remarkable amount of hard earned info for any intelligent system to build from, almost as if there's a sign over this genome saying "LOOK HERE!".
3. what Claude recognized, and it really is a meaningful discovery, is that these upstream noncoding regions contain a tandem repeat spacer architecture, reminiscent of CRISPR-like arrays, and that this architecture recurs across related RT loci. this is meaningfully impressive.
- Claude also identified partner proteins associated with ART RTs (that Korn et al. thought didn't exist), but their function or link to the RTs remains unknown.
4. but again, from the agent transcripts, it seems that it was already following these clues before it spotted the repeat architecture (one agent explicitly calls out MarsHill’s 1,241-bp nc region in Fig 1E).
5. so yes, Claude’s inference is novel, but if a prior human team had already identified the MarsHill RT, the 1.2-kb upstream noncoding region, proposed an associated ncRNA, and if that knowledge may have been available to an ai system (training data + literature search), shouldn't good science explicitly recognize this?
6. a really careful technical paper could have just said something like this (asked Claude to rewrite this with proper credit):
"We used Claude Code instances to survey reverse transcriptase (RT) loci across 1.9 billion protein clusters. One candidate lineage contained the MarsHill RT, already characterized by Korn et al., who described the RT together with its upstream noncoding region, proposed that this region encodes an RT-associated ncRNA, and raised the possibility of an antiphage role. Starting from that work, our agents inspected the upstream DNA of a MarsHill relative and recognized a tandem repeat–spacer architecture. Claude then showed that the same architecture recurs across a wider family of jumbo-phage RTs, which we call array-associated RTs (ARTs), and flagged dedicated partner genes at these loci whose function remains unknown."
7. Anthropic's paper ends with "we expect that as models improve, human scientists will be enabled to explore a wider range of ideas, focus on experimental design and validation, and discover many more systems like ART by using AI systems to make connections between the vast stores of human-produced scientific knowledge".
but this paper or the website announcement barely recognize the vast stores of knowledge its discovery was enabled by.
8. lastly, as these systems get insanely capable and eventually may be doing a huge amount of the actual scientific reasoning, those of us who are human scientists in the loop, let's never ever get so carried aways by ai discovery that we lose our sense of how cumulative scientific discovery is. let's be way more generous that this poor storytelling of original human contributions -
"Agents that read primary data directly can provide the judgment that limits discovery wherever data have
outgrown the attention of human scientists. The MarsHill ART locus is an example, as its original genome
report identified the RT and proposed a 5′ ncRNA, yet described neither the repeats nor the partner gene"
MosheArditiMD retweeted
Today is the 100th anniversary of the birth of John Coltrane. To mark it we have selected a number of essays and reviews from back issues of The Wire going back over 40 years, all attempting to come to an understanding of the meaning and significance of Coltrane’s life and music.
MosheArditiMD retweeted
This month marks the 100th birthday of John Coltrane.
In honor of this supreme musical force, I’ll be sharing one essential Coltrane song every day leading up to his 100th birthday on September 23rd.
Day 19: “Spiritual” (Live at the Village Vanguard)
MosheArditiMD retweeted
Today is John Coltrane's 100th birthday! 🎂
I recommend taking a ~9 minute break from scrolling Twitter, putting on headphones, closing your eyes, and listening to this -- transcendent stuff. youtube.com/watch?v=3z6Fo61T…
MosheArditiMD retweeted
Three current and former Harvard researchers are heading north to Canadian universities as part of a sweeping $1.21 billion government effort to recruit top academic talent.
@RiyaShah233 and @JulianaYao298 report.
thecrimson.com/article/2026/…
MosheArditiMD retweeted
This isn’t just about grants. It’s about whose health gets studied—and whose gets ignored.
Defund research on women and minority communities. Weaken the safety net.
Different policies. Same consequence: the people who already have the least lose the most.
MosheArditiMD retweeted
The National Institutes of Health is America’s preeminent medical research agency—one that gives hope to countless families.
The Trump Administration’s attempt to inject politics into its grant disbursements will jeopardize new discoveries, cures, and treatments.
Breaking News: Federal officials are drafting an executive order that would help cement President Trump’s ability to control billions of dollars in scientific grants funded by the National Institutes of Health. nyti.ms/4yhi6RS




























