{"version":"https://jsonfeed.org/version/1","title":"Micro.blog - Jianghui Xiong","home_page_url":"https://micro.blog","feed_url":"https://micro.blog/posts/xiongj","_microblog":{"about":"https://micro.blog/about/api","id":"1954144","username":"xiongj","bio":"Chief Scientist at DeepoMe.com","pronouns":"","is_following":false,"is_you":false,"following_count":1,"discover_count":0},"author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://avatars.micro.blog/avatars/2026/34/1954144.jpg"},"items":[{"id":"97852924","content_html":"<p>Your disease risk isn’t a number — it’s a slope. Reserves fall across five lines for years before diagnosis: phenotypic warning, organ function, metabolic stability, immune repair, hallmarks. Manage the slope, not the score.</p>\n<p>I’m rarely on LinkedIn — email: <a href=\"mailto:jianghui@deepome.com\">jianghui@deepome.com</a></p>\n<img src=\"https://cdn.micro.blog/photos/1000x/https%3A%2F%2Fen.xiongjianghui.com%2Fuploads%2F2026%2Fv09-five-lines-defense.jpg\" width=\"600\" height=\"600\" alt=\"\" loading=\"lazy\">\n","summary":"","url":"https://en.xiongjianghui.com/2026/09/20/your-disease-risk-isnt-a.html","date_published":"2026-09-20T07:58:37+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-09-20 07:58","date_timestamp":1789891117,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":["https://bsky.app/profile/did:plc:3icbw57ijgm2npomdpyggyz5/post/3mvwq2ein3k2i"]}},{"id":"97629317","content_html":"<p>A steerable model must answer counterfactuals: what transition would this module have made without the intervention? That question separates a world model from a black box: <a href=\"https://www.preprints.org/manuscript/202605.0366/v1\">www.preprints.org/manuscrip…</a></p>\n<p>I’m rarely on LinkedIn — email: <a href=\"mailto:jianghui@deepome.com\">jianghui@deepome.com</a></p>\n<img src=\"https://cdn.micro.blog/photos/1000x/https%3A%2F%2Fen.xiongjianghui.com%2Fuploads%2F2026%2Fv04-counterfactual-axes.jpg\" width=\"600\" height=\"337\" alt=\"\" loading=\"lazy\">\n","summary":"","url":"https://en.xiongjianghui.com/2026/09/16/a-steerable-model-must-answer.html","date_published":"2026-09-16T10:35:18+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-09-16 10:35","date_timestamp":1789554918,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":["https://bsky.app/profile/did:plc:3icbw57ijgm2npomdpyggyz5/post/3mvmwwuenl22i"]}},{"id":"97537929","content_html":"<p>Two patients, the same symptom score, different mIC states — the same intervention, different outcomes. Why N-of-1 medicine needs a state layer, not just risk scores: <a href=\"https://www.preprints.org/manuscript/202605.0366/v1\">www.preprints.org/manuscrip…</a>\nI’m rarely on LinkedIn — email: <a href=\"mailto:jianghui@deepome.com\">jianghui@deepome.com</a></p>\n<img src=\"https://cdn.micro.blog/photos/1000x/https%3A%2F%2Fen.xiongjianghui.com%2Fuploads%2F2026%2Fv03-same-score-different-state.jpg\" width=\"600\" height=\"337\" alt=\"\" loading=\"lazy\">\n","summary":"","url":"https://en.xiongjianghui.com/2026/09/15/two-patients-the-same-symptom.html","date_published":"2026-09-14T21:46:57+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-09-14 21:46","date_timestamp":1789422417,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":["https://bsky.app/profile/did:plc:3icbw57ijgm2npomdpyggyz5/post/3mvj3kab4ds2i"]}},{"id":"97523732","content_html":"<p>mIC = module-level intrinsic capability: our proposed state format for biomedical world models. One vector per module; an intervention is defined by the transition it induces: <a href=\"https://www.preprints.org/manuscript/202605.0366/v1\">www.preprints.org/manuscrip…</a>\nI’m rarely on LinkedIn — email: <a href=\"mailto:jianghui@deepome.com\">jianghui@deepome.com</a></p>\n<img src=\"https://cdn.micro.blog/photos/1000x/https%3A%2F%2Fen.xiongjianghui.com%2Fuploads%2F2026%2Fv02-mic-state-vector.jpg\" width=\"600\" height=\"337\" alt=\"\" loading=\"lazy\">\n","summary":"","url":"https://en.xiongjianghui.com/2026/09/15/mic-modulelevel-intrinsic-capability-our.html","date_published":"2026-09-14T16:06:13+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-09-14 16:06","date_timestamp":1789401973,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":["https://bsky.app/profile/did:plc:3icbw57ijgm2npomdpyggyz5/post/3mviiiqrabc2i"]}},{"id":"97518324","content_html":"<p>We want to steer a body, not just predict it — but most medical AI only forecasts. A model must clear five checkpoints to steer; miss one and it is just a predictor: <a href=\"https://www.preprints.org/manuscript/202605.0366/v1\">www.preprints.org/manuscrip…</a>\nI’m rarely on LinkedIn — email: <a href=\"mailto:jianghui@deepome.com\">jianghui@deepome.com</a></p>\n<img src=\"https://cdn.micro.blog/photos/1000x/https%3A%2F%2Fen.xiongjianghui.com%2Fuploads%2F2026%2Fv01-steerability-framework.jpg\" width=\"480\" height=\"600\" alt=\"\" loading=\"lazy\">\n","summary":"","url":"https://en.xiongjianghui.com/2026/09/14/we-want-to-steer-a.html","date_published":"2026-09-14T14:15:43+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-09-14 14:15","date_timestamp":1789395343,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":["https://bsky.app/profile/did:plc:3icbw57ijgm2npomdpyggyz5/post/3mvicd66vss2i"]}},{"id":"97513633","content_html":"<p>We want a map honest enough to show its own blank spots. A third of our 332 modules have no known intervention. We publish the gaps and take nominations: <a href=\"https://steeramed.com/en/bench/nominations/\">steeramed.com/en/bench/…</a>\nI’m rarely on LinkedIn — email: <a href=\"mailto:jianghui@deepome.com\">jianghui@deepome.com</a></p>\n","summary":"","url":"https://en.xiongjianghui.com/2026/09/14/we-want-a-map-honest.html","date_published":"2026-09-14T12:39:26+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-09-14 12:39","date_timestamp":1789389566,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":[]}},{"id":"97362698","content_html":"<p>We believe a model that can’t say where it fails isn’t science. Ours, published first: hold out one disease, and performance drops to a coin flip — on the landing page, not in an appendix: <a href=\"https://steeramed.com/en/bench/\">steeramed.com/en/bench/</a>\nI’m rarely on LinkedIn — email: <a href=\"mailto:jianghui@deepome.com\">jianghui@deepome.com</a></p>\n","summary":"","url":"https://en.xiongjianghui.com/2026/09/11/we-believe-a-model-that.html","date_published":"2026-09-11T14:25:27+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-09-11 14:25","date_timestamp":1789136727,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":[]}},{"id":"97349871","content_html":"<p>We believe more data is not more medicine. We tested the full marker atlas against a small curated panel — the atlas won outright in only 9 of 23 diseases. Pick modules, not markers: <a href=\"https://steeramed.com/en/bench/\">steeramed.com/en/bench/</a>\nI’m rarely on LinkedIn — email: <a href=\"mailto:jianghui@deepome.com\">jianghui@deepome.com</a></p>\n","summary":"","url":"https://en.xiongjianghui.com/2026/09/11/we-believe-more-data-is.html","date_published":"2026-09-11T09:57:40+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-09-11 09:57","date_timestamp":1789120660,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":[]}},{"id":"97301181","content_html":"<p>Our one question: can human health be steered, not just predicted? Three preprints — what a steerable model must have, one person’s evidence chain, and an open benchmark with failure modes first: <a href=\"https://steeramed.com/en/bench/\">steeramed.com/en/bench/</a>\nI’m rarely on LinkedIn — email: <a href=\"mailto:jianghui@deepome.com\">jianghui@deepome.com</a></p>\n<img src=\"https://cdn.micro.blog/photos/1000x/https%3A%2F%2Fen.xiongjianghui.com%2Fuploads%2F2026%2F1.png\" width=\"450\" height=\"600\" alt=\"\" loading=\"lazy\">\n","summary":"","url":"https://en.xiongjianghui.com/2026/09/10/our-one-question-can-human.html","date_published":"2026-09-10T14:28:41+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-09-10 14:28","date_timestamp":1789050521,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":[]}},{"id":"97100024","content_html":"<p>An AI agent proposed and refined aging modules under a frozen protocol. Of 7 concepts, 2 reach nominal significance (ECM stiffening +0.031, TRM efferocytosis +0.021); none survive FDR. Replay is public: <a href=\"https://steeramed.com/en/bench/.\">steeramed.com/en/bench/…</a>\nI’m rarely on LinkedIn — email: <a href=\"mailto:jianghui@deepome.com\">jianghui@deepome.com</a></p>\n","summary":"","url":"https://en.xiongjianghui.com/2026/09/07/an-ai-agent-proposed-and.html","date_published":"2026-09-07T09:06:33+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-09-07 09:06","date_timestamp":1788771993,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":[]}},{"id":"97061984","content_html":"<p>Our claim: 332 capability modules are the right unit for steering human health. Any such claim has to lose somewhere. Next three posts: where a 117-axis panel beats the atlas, where we drop to chance, and which axes have no handle.&gt; I’m rarely on LinkedIn — email: <a href=\"mailto:jianghui@deepome.com\">jianghui@deepome.com</a></p>\n","summary":"","url":"https://en.xiongjianghui.com/2026/09/06/our-claim-capability-modules-are.html","date_published":"2026-09-06T14:46:56+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-09-06 14:46","date_timestamp":1788706016,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":["https://bsky.app/profile/did:plc:3icbw57ijgm2npomdpyggyz5/post/3muuadho3xw2o"]}},{"id":"97060225","content_html":"<p>Put a human on Mars, Europa, Kepler-22b — which capability reserves get remodeled first? A pure test of deduction: no new data, only whether the reasoning survives published biology. Which reserve would you bet breaks first?\nI’m rarely on LinkedIn — email: <a href=\"mailto:jianghui@deepome.com\">jianghui@deepome.com</a></p>\n","summary":"","url":"https://en.xiongjianghui.com/2026/09/06/put-a-human-on-mars.html","date_published":"2026-09-06T13:46:54+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-09-06 13:46","date_timestamp":1788702414,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":["https://bsky.app/profile/did:plc:3icbw57ijgm2npomdpyggyz5/post/3muu4y5ollg2o"]}},{"id":"96594173","content_html":"<p>Which representation ranks repurposing drugs best? It depends on the disease: Hallmarks won cancer (recall@20 0.900), food-as-medicine won depression, TCM won sedatives; the full atlas was strictly best in only 9 of 23: <a href=\"https://www.preprints.org/manuscript/202608.0998/v1\">https://www.preprints.org/manuscript/202608.0998/v1</a></p>\n<img src=\"https://cdn.micro.blog/photos/1000x/https%3A%2F%2Fen.xiongjianghui.com%2Fuploads%2F2026%2Ffig2-matching.png\" width=\"600\" height=\"365\" alt=\"\" loading=\"lazy\">\n","summary":"","url":"https://en.xiongjianghui.com/2026/08/29/which-representation-ranks-repurposing-drugs.html","date_published":"2026-08-29T06:44:43+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-08-29 06:44","date_timestamp":1787985883,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":["https://bsky.app/profile/did:plc:3icbw57ijgm2npomdpyggyz5/post/3mu7bo4aeyk2o"]}},{"id":"96550901","content_html":"<p>Everyone is building virtual cells. We’re after the missing layer between cell and patient — emergence, pathway compensation, and whether this person responds to this intervention. The figure contrasts the two: <a href=\"https://steeramed.com/en/\">https://steeramed.com/en/</a></p>\n<img src=\"https://cdn.micro.blog/photos/1000x/https%3A%2F%2Fen.xiongjianghui.com%2Fuploads%2F2026%2Fbeyond-virtual-cells1.png\" width=\"600\" height=\"600\" alt=\"\" loading=\"lazy\">\n","summary":"","url":"https://en.xiongjianghui.com/2026/08/28/everyone-is-building-virtual-cells.html","date_published":"2026-08-28T13:22:58+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-08-28 13:22","date_timestamp":1787923378,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":["https://bsky.app/profile/did:plc:3icbw57ijgm2npomdpyggyz5/post/3mu5hh7pcmk2o"]}},{"id":"96544436","content_html":"<p>We built SteeraMed Bench to answer one question: can an AI-generated “aging module” actually predict drug effects? The setup: 332 modules × 1,916 repurposing drugs × 23 disease categories, one frozen protocol for everyone. The diagram shows the instrument: <a href=\"https://steeramed.com/en/bench/\">https://steeramed.com/en/bench/</a></p>\n<img src=\"https://cdn.micro.blog/photos/1000x/https%3A%2F%2Fen.xiongjianghui.com%2Fuploads%2F2026%2Fsteeramed-bench-instrument-diagram.png\" width=\"600\" height=\"600\" alt=\"\" loading=\"lazy\">\n","summary":"","url":"https://en.xiongjianghui.com/2026/08/28/we-built-steeramed-bench-to.html","date_published":"2026-08-28T10:11:18+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-08-28 10:11","date_timestamp":1787911878,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":["https://bsky.app/profile/did:plc:3icbw57ijgm2npomdpyggyz5/post/3mu54qiuxbk2o"]}},{"id":"96531484","content_html":"<p>Our new preprint maps human health as 332 capability modules — 117 nutrient, 105 food-medicine, 72 aging-hallmark, 38 syndrome axes. Figure 1 shows how the atlas and its frozen evaluation protocol fit together: <a href=\"https://www.preprints.org/manuscript/202608.0998/v1\">https://www.preprints.org/manuscript/202608.0998/v1</a></p>\n<img src=\"https://cdn.micro.blog/photos/1000x/https%3A%2F%2Fen.xiongjianghui.com%2Fuploads%2F2026%2Ffig1-atlas-overview-steeramed-bench.png\" width=\"600\" height=\"420\" alt=\"\" loading=\"lazy\">\n","summary":"","url":"https://en.xiongjianghui.com/2026/08/28/our-new-preprint-maps-human.html","date_published":"2026-08-28T05:08:28+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-08-28 05:08","date_timestamp":1787893708,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":["https://bsky.app/profile/did:plc:3icbw57ijgm2npomdpyggyz5/post/3mu4lt4defs2o"]}},{"id":"96525227","content_html":"<p>The AI virtual cell is fashionable. But a patient is not a bigger cell — between them sit emergent transitions, pathway compensation, heterogeneity. Missing is not a larger model but another scale of map, plus action semantics and a retest loop a virtual cell doesn’t have.</p>\n","summary":"","url":"https://en.xiongjianghui.com/2026/08/28/the-ai-virtual-cell-is.html","date_published":"2026-08-28T01:19:09+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-08-28 01:19","date_timestamp":1787879949,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":["https://bsky.app/profile/did:plc:3icbw57ijgm2npomdpyggyz5/post/3mu46yqc6e22o"]}},{"id":"96483783","content_html":"<p>Biomedical knowledge lives in three forms: travelogues (reviews), museums (databases), maps (computable knowledge). Astronomy has star catalogs, chemistry the periodic table. Biology has the largest data output in science — and still no coordinate system of its own.</p>\n","summary":"","url":"https://en.xiongjianghui.com/2026/08/27/biomedical-knowledge-lives-in-three.html","date_published":"2026-08-27T10:39:15+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-08-27 10:39","date_timestamp":1787827155,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":["https://bsky.app/profile/did:plc:3icbw57ijgm2npomdpyggyz5/post/3mu2ntfr6p22o"]}},{"id":"96469071","content_html":"<p>Our starting axiom: a body is a set of capabilities for adapting to its environment. Not a gene list, not a network diagram. Everything downstream — capability axes, response mapping, module panels — is deduced from that one sentence, then tested.</p>\n","summary":"","url":"https://en.xiongjianghui.com/2026/08/27/our-starting-axiom-a-body.html","date_published":"2026-08-27T04:25:20+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-08-27 04:25","date_timestamp":1787804720,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":["https://bsky.app/profile/did:plc:3icbw57ijgm2npomdpyggyz5/post/3mtzywpsnss2o"]}},{"id":"96461622","content_html":"<p>Systems biology tells us how a living system runs. A world model tells us how it moves under an action. A steerable model asks a third question: how does the rider get there without breaking the horse? Not a rebrand — a different task.</p>\n","summary":"","url":"https://en.xiongjianghui.com/2026/08/27/systems-biology-tells-us-how.html","date_published":"2026-08-27T00:13:52+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-08-27 00:13","date_timestamp":1787789632,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":["https://bsky.app/profile/did:plc:3icbw57ijgm2npomdpyggyz5/post/3mtzkv4gj2k2o"]}},{"id":"96437084","content_html":"<p>Two hundred years of biomedicine ran on induction: collect data, find patterns, explain. AI is usually deployed to make that loop faster. We are trying the other direction — deduce from first principles, then let data refute it: <a href=\"https://steerable.world\">https://steerable.world</a></p>\n","summary":"","url":"https://en.xiongjianghui.com/2026/08/27/two-hundred-years-of-biomedicine.html","date_published":"2026-08-26T16:26:09+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-08-26 16:26","date_timestamp":1787761569,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":["https://bsky.app/profile/did:plc:3icbw57ijgm2npomdpyggyz5/post/3mtyqqzbcwc2o"]}},{"id":"96405248","content_html":"<p>SteeraMed Bench: 332 module axes, 1,916 DrugBank small molecules, 5 disease tasks, 23 ATC-derived categories. Versioned snapshots, published failure modes, open nominations: <a href=\"https://steeramed.com/en/bench/\">steeramed.com/en/bench/</a></p>\n","summary":"","url":"https://en.xiongjianghui.com/2026/08/26/steeramed-bench-module-axes-drugbank.html","date_published":"2026-08-26T03:54:42+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-08-26 03:54","date_timestamp":1787716482,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":[]}},{"id":"96341755","content_html":"<p>Why modules: one gene is too small a unit to steer a body, a whole transcriptome too large to act on. Our atlas has 332 axes — 117 nutrient targets, 105 food-medicine compounds, 72 extended aging hallmarks, 38 syndrome proxies from Chinese medicine.</p>\n","summary":"","url":"https://en.xiongjianghui.com/2026/08/25/why-modules-one-gene-is.html","date_published":"2026-08-25T02:13:18+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-08-25 02:13","date_timestamp":1787623998,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":["https://bsky.app/profile/did:plc:3icbw57ijgm2npomdpyggyz5/post/3mtuqmu5e2c2o"]}},{"id":"96310034","content_html":"<p>Most AI-for-biology work asks what will happen. We ask a narrower question: which knob, turned how far, moves a person — and what measurement would show it. Prediction without a handle is not yet medicine.</p>\n","summary":"","url":"https://en.xiongjianghui.com/2026/08/24/most-aiforbiology-work-asks-what.html","date_published":"2026-08-24T14:35:09+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-08-24 14:35","date_timestamp":1787582109,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":["https://bsky.app/profile/did:plc:3icbw57ijgm2npomdpyggyz5/post/3mttjmfyb5s2o"]}},{"id":"96306617","content_html":"<p>New blog: notes on steerable biology — what can actually be changed in a human body, and how we would know it moved. Method notes, failure boundaries, and open problems from building SteeraMed Bench: <a href=\"https://steeramed.com/en/bench/\">steeramed.com/en/bench/</a></p>\n","summary":"","url":"https://en.xiongjianghui.com/2026/08/24/new-blog-notes-on-steerable.html","date_published":"2026-08-24T13:20:00+00:00","author":{"name":"Jianghui Xiong","url":"https://xiongj.micro.blog/","avatar":"https://cdn.micro.blog/photos/96/https%3A%2F%2Favatars.micro.blog%2Favatars%2F2026%2F34%2F1954144.jpg","_microblog":{"username":"xiongj"}},"_microblog":{"date_relative":"2026-08-24 13:20","date_timestamp":1787577600,"is_favorite":false,"is_bookmark":false,"is_deletable":false,"is_conversation":false,"is_linkpost":false,"is_mention":false,"is_podcast":false,"note":"","syndication":["https://bsky.app/profile/did:plc:3icbw57ijgm2npomdpyggyz5/post/3mttfg26pyk2o"]}}]}