Lawrence (@Deep_Chora) profile picture

MLE with a focus on Computer Vision. Patent-holder. Inventor of SOTA algorithm. Sick with Long COVID since September 22.

Joined August 2025
Photo by Lawrence (@Deep_Chora)Photo by Lawrence (@Deep_Chora)Photo by Lawrence (@Deep_Chora)Photo by Lawrence (@Deep_Chora)Photo by Lawrence (@Deep_Chora)Photo by Lawrence (@Deep_Chora)Photo by Lawrence (@Deep_Chora)
Psychiatry keeps running into an inconvenient problem: the immune system refuses to respect the boundary between "mental" and "physical" disease. Zeyu Liu and colleagues used Mendelian randomization to test whether genetically determined antiviral antibody responses influence psychiatric disease. The idea is simple: if inherited variants that shift an immune trait also shift disease risk, that points more strongly toward causality than an ordinary correlation. One interesting result is that antibodies against different stages of the same virus pointed in different psychiatric directions. Higher genetically predicted antibodies against EBNA-1, a protein associated with EBV's latent, mostly silent state, were linked to lower ADHD risk. Higher antibodies against ZEBRA, the switch that pushes EBV into active lytic replication, were linked to higher anorexia risk. One caveat is that the antibody GWAS was relatively small, with roughly 8,000 participants at most, so we are still waiting for replication in larger cohorts. Antibody responses also reflect broader immune biology, including antigen presentation, B/T-cell responses and viral control. But the study makes a larger point. The brain is not an isolated organ that suddenly becomes "psychiatric" when symptoms appear. Its function is continuously shaped by the immune state of the host. Figuring out which immune mechanisms sit behind associations like these will require proper immunophenotyping, functional assays and measurements of viral state alongside psychiatric cohorts. In other words, immunologists need to be in the room or psychiatry is not going to figure this shit out. doi.org/10.1007/s00406-026-0…
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Replying to @PaulGarnerWoof
Get fucked
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如果 AI 不是泡沫,人们会丢掉工作。如果 AI 是泡沫,人们会丢掉积蓄。很遗憾,最有可能的是,AI 目前处于金融泡沫,但技术上仍处于指数改进曲线上,所以人们会先丢掉积蓄,然后丢掉工作。😇😇😇
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AI bros talking about AI before yesterday’s election vs after yesterday’s election
The differing perceptions of AI are wild. The country just voted against data centers on 40+ provisions nationwide and hates AI. (Plenty of legitimate gripes.) But most of those people are just unaware that AI is finding a new cancer cure or treatment weekly, going through decades of peer reviewed data and uncovering mountains of errors, that its correcting, throughout every academic field. Replacing billions of man hours of drudgery. Closest thing to a “miracle” I’ve ever witnessed. When I talk to people outside of tech/VC, they’re just unaware of all of it.
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Lawrence retweeted
As a biologist working in drug development, I’m sick and tired of “curing diseases” being paraded around as the one thing that makes AI worthwhile. AI has not developed a single drug. Nor has it made any unique discoveries that could directly lead to the development of one.
Slowing down AI is not just about waiting a few more years for better tech. It means losing millions of people who will die from diseases that AI could have cured.
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Als Immunologe kann ich das nur bestätigen: ME/CFS ist eine ernsthafte Erkrankung mit nachweisbarer Immundysregulation, keine bloße Erschöpfung. Dass Betroffene solche Fehler ständig selbst korrigieren müssen, ist wirklich ein Armutszeugnis. #MEcfs
Das ist der Kenntnisstand einiger Journalist*innen, Onlineredakteur*innen, Medienschaffenden etc. zum Thema #MEcfs. Und zwar der Kenntnisstand jener, die darüber schreiben. Im Jahr 2026. Es kann doch nicht sein, dass es immer wieder die Kranken sind, die diese Fehlinformationen korrigieren. Was für ein Armutszeugnis.
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Replying to @scott_scientist
Your criticism is important and non-infectious onsets should be studied with just as much interest. One aspect I'm curious about though is non-symptomatic infections. We know, for example, that by now everyone has been infected with COVID, even those who say "they never caught it". What are your thoughts on that? Can you share any papers that might be helpful to understand the non-infectious onsets cohort better?
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So incredibly proud to finally share Science’s Last Exam (SLE). 🧪✨ We wanted to know: Can AI actually do science? So we gave them real lab tools and hidden expert checks. The results are a massive reality check. Science is hard, and true end-to-end research is still at 0. Deeply grateful to the brilliant minds at 34 institutions who made this possible. 🔗sciences-last-exam.org/ The real journey starts now. 🚀 Dive into the thread 👇
I’m incredibly proud to share what we’ve been building at the AItonomy Foundation: Science’s Last Exam (SLE). 🧪✨ Can AI do science? Instead of Q&A, we give agents actual research goals and real-world tools (lab data, software), then grade them against hidden expert checks. Deeply grateful to the brilliant minds at 34 institutions (Harvard, MIT, Stanford, etc.) who helped craft 113 tasks across 9 disciplines. ❤️ The results? Science is hard. Of 8 frontier models, the best scored 37.5/100. On true end-to-end research? All scored 0. We have an exciting journey ahead! 🚀 (Claude Opus 5.5 & GPT-6 Astra coming soon—just clearing bio safeguards). Everything opens Nov 6. 🗓️ 🌐 sciences-last-exam.org 💻 github.com/Gen-Verse/Science… 🤗 huggingface.co/datasets/Gen-… Thread below on how the exam works and where models break. 👇 (1/14) #AGI #AIforScience #AIAgents #SciencesLastExam #OpenAI #Anthropic
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Response to the recent criticism of my work with @resiapretorius on #microclots for the benefit of #pwLC and #pwME dbkgroup.org/a-misdirected-a…
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Replying to @HazylightsSa
Will be interested to read it in case you get around to it :)
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"We're gunna cure all diseases in 5-10 years" "Prove it" "Here's what a bacteria protein looks like. We don't know what it does"
We’re sharing how our biology research team worked with Claude to map the first 3D structure of a vault particle from bacterial life. Vault particles are a longstanding mystery. They are barrel-shaped objects, among the largest protein structures found in our cells. They were first discovered by Leonard Rome and Nancy Kedersha in 1986, but their function remains unknown. With Claude, we’ve found results that might bring us closer to solving that mystery. Until now, vaults were only known in the cells of complex things like animals and plants. We have shown that similar proteins from bacteria (and the viruses that infect them) can also assemble into vaults. Finding the structures in these simpler forms of life may make it easier to investigate their function in our own cells. For our life sciences team, the project was also a demonstration of the potential (and the limitations) of using AI to accelerate science. In our full piece, we discuss how Claude was able to dramatically speed up some stages—manually determining the vault particle’s structure would have taken weeks to months of painstaking work, but here it took days. We also discuss how Claude made some simple mistakes along the way, and how we collaborated with our machine learning researchers to address them. Read more: anthropic.com/research/inves…
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Lawrence retweeted
Our security researchers built an autonomous cyber vulnerability discovery, exploitation, and patching pipeline. In a single run with an upcoming cyber model, it validated and generated patches for 948 local privilege escalation vulnerabilities in the Linux kernel at a total API cost of $1.2 million.
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Replying to @NikoMcCarty
I didn't even know you had a podcast until now (whoopsiees). I've actually been looking for a proper immunology/bio podcast, will be happy to dive in!
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Replying to @Helios_Movement
Anyone who cares about this should invest in Long COVID and ME/CFS research. We have documented mitochondrial abnormalities, brain fog, and fatigue. Nobody knows how to fix it. But you might figure it out if you research these conditions.
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Lawrence retweeted
regular reminder that almost any cell (besides certain fully diffed b cells and neurons) can be an antigen presenting cell if you hit it with enough ifny
Astrocytes are fully competent APC but only conditionally: IFN-γ & microglial cytokines are jointly required for astrocytes to drive Ag-specific CD4+ T cells @CellReports cell.com/cell-reports/fullte… preview @FChrisBennett cell.com/cell-reports/fullte… @LiddelowSA @borderbiologist @NYU_CNS
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Lawrence retweeted
Through work, one develops as a person, provides for family needs, expresses one’s own talent, participates in social life, and builds a better world by collaborating in God’s creative work. The real challenge is to offer everyone opportunities to make the most of their abilities. Unemployment, exploitation, and working conditions that endanger health and life itself are unacceptable (Gaudium et Spes, 67). #GeneralAudience
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Replying to @HazylightsSa
I can think of six that are relevant. But I'm too lazy to choose. Are you fine with that? Then I'll write up a summary.
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It's important not to get so focused on what's happening in someone's brain that we forget to ask what's happening in their life.
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Many people hope AI will one day cure diseases we’re still powerless against. So do I. To me, that would be AI’s greatest contribution to humanity. The leading AI labs have bold visions: 🔬 Dario Amodei believes future powerful AI could compress 50–100 years of progress in biology and medicine into 5–10 years. 👉 “Machines of Loving Grace” 🧬 Demis Hassabis hopes AI could eventually help cure all diseases. 👉 His CBS “60 Minutes” interview I wanted to track what becomes of these promises. So I had my AI agent build "Are We Cured Yet?": a website that compares verifiable medical progress with the big announcements. The counter for proven cures and therapies developed using AI currently still stands at 0. There’s a long road between a research breakthrough and a cure. I really hope we’ll see that counter rise soon. 👉 AreWeCured.com ✖️@AreWeCuredYet What do you think is hype, and what’s realistic? And which medical breakthrough from AI are you personally hoping for?
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This is the first time I've seen a German doctor speak out in public and with vigor against the neglect of ME/CFS. Her anger sent chills down my spine, maybe things are finally changing for the better.
Wow!!! Pediatrician Dr. Maria Bea Merscher Alves delivers a fiery, visibly pissed-off speech condemning the ongoing neglect of children with ME. We need all doctors, scientists, and politicians to speak out like this!! Source: instagram.com/reels/DfJ7KLIx… #pwme #kidswithME #MECFS
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