Acabo de publicar el render 3D de mi hígado. Salen 20 lesiones.
Soy ingeniera y tengo un cáncer de mama metastásico. De esas 20 solo hay dos
medidas en el informe de radiología, una en el segmento II de 20 mm y otra en el
IVb de 19, las dos del TC del 8 de septiembre. Las otras 18 las ha sacado Polaris, mi sistema agéntico, y todavía no las ha validado nadie.
En mayo un PET no vio nada ahí, en julio ya había metástasis y del TC de septiembre salen las 20. Es impactante que aparezcan tantas en tan poco tiempo.
Del hígado el informe escrito dice «múltiples». Del hueso dice «incontables». Y eso es lo que más me ha chocado, que no ponga el número de lesiones.
El primer visor que hice fue el de los huesos, y me sirvió de apoyo cuando decidimos con mi equipo qué lesión biopsiar. Ahora ya le he añadido el hígado y el tumor primario de la mama.
Los puedes girar tu aqui 👇
https://t.co/CNK2JfUAV0
Cada vez tengo menos tiempo y espero que estas herramientas ayuden a agilizar
procesos.
Sigo alucinando que lo que construyo tiene impacto real en mi salud y en las
decisiones que tomamos.
Anthropic pointed a model at 40 years of ribosome papers and it found the same experiment had been run 1,400 times without anyone noticing.
Nobody asked it for a discovery. It was asked one question: which of these results has never been reproduced by a different lab.
> INGEST - 40 years of papers, methods sections only, no abstracts, no citations
> STRIP - reduces each method to the actual procedure, discarding how it was written up
> MATCH - clusters procedures that are the same experiment under different names
> ORPHAN - flags every cluster where one lab is the only source
> RANK - sorts orphans by how much later work was built on top of them
1,400 duplicates were harmless. Everyone re-runs the standard assays, and that is how science is supposed to work.
The output that mattered was the opposite pile. 61 procedures with exactly one source, each cited hundreds of times.
Four of those 61 sit underneath entire subfields, and no second lab has ever run the experiment.
Citations are not replication. A paper cited 900 times has been read 900 times, which is not the same as being checked once.
The literature is searchable by words and by authors. Almost nobody has indexed it by procedure, which is the only unit that can actually be repeated.
A reproducibility audit is a grant, a committee and two years. This was a weekend of compute against text that was already public.
How it's wired is in the article below.
¡Buenos días!
Ayer se publicaron nuevas tesis del máster en razonamiento probatorio en nuestro repositorio open access. Es un repositorio que contiene las tesis mejor evaluadas de nuestro programa.
https://t.co/ifvwgRnMiB
¡Queremos también publicar la tuya! Inscríbete a la 11ª edición del Máster, en doble titulación de la Universitat de Girona y la Università degli Studi di Genova. La preinscripción está abierta hasta el 15 de octubre.
#EstudiaConNosotros
#EstudiaHoyMásQueAyer
Researchers publishing in @AgingCell have found that a cocktail of molecules released by human umbilical cord mesenchymal stem cells (hUC-MSCs) can mitigate sun-induced skin aging (photoaging) in mice by restoring their cells’ ability to get rid of their own damaged mitochondria (mitophagy).
👉 Read More: https://t.co/gOCJ1AuK08
Researchers wired a piece of dead human brain to a robot.. and it learned to play piano.
they took an adult human brain explant (yes, dead brain tissue), kept the neurons alive in a dish, and hooked it up to an anthropomorphic robotic hand equipped with a microphone.
they didn't use backpropagation. they didn't train a silicon neural net. they just let the biological brain tissue listen to the sounds of piano notes while the robot pressed the keys.
through pure unsupervised sensory-motor learning, the disembodied brain tissue mapped the audio frequencies to the physical motor movements.. and then it started controlling the robot hand itself to imitate the human piano playing it heard.
the brain tissue retained this new "memory" and bi-directional plasticity for several days.. it only stopped when researchers actively disrupted the electrical neurotransmission.
this is a massive leap for hybrids. we are moving past artificial neural networks and straight into using literal human neurons as biological processors for machines.
the line between biology and artificial intelligence is disappearing..
I have signed a letter from 42 fellows and foreign members of the Royal Society to Paul Nurse, the president of the society, concerning the need to treat the serious risks of AI as an emergency.
https://t.co/PmlrgrJ7hh
Elon Musk y su empresa Neuralink han conseguido leer la mente. Es un hito histórico que cambiará la vida de mucha gente.
Piensas algo y la máquina es capaz de leerlo y reproducirlo. Aquí un hombre que le vuelve a decir “te quiero” a su esposa después de muchos años mudo. ❤️
They deleted most of a mouse's cortex before it was born, filled the empty skull with human neurons, and the mouse walked, learned and remembered
https://t.co/zu9BqUwcwD
🔵¿Un paciente de cáncer en remisión no tiene derecho a la estabilidad laboral reforzada?
Miren este caso.
🔹El Sr. Maldonado presentó una acción de protección en contra del Municipio de Las Lajas.
🔹Sucede que el Sr. Maldonado fue despedido y él alegó tener una enfermedad catastrófica en remisión (cáncer de riñón).
🔹El Sr. Maldonado perdió en primera y segunda instancia. Luego, presentó una acción extraordinaria de protección que (sorprendentemente) también perdió.
🔺¿Qué dijo la Corte Constitucional?
▶️Básicamente la CC respaldó lo expuesto por los jueces provinciales.
🔺¿Qué argumentaron los jueces provinciales?
▶️Que el Sr. Maldonado fue contratado por el Municipio el 16 de mayo de 2023 hasta el 31 de diciembre de 2023;
▶️Que el Sr. Maldonado tenía cáncer de riñón y le extirparon el riñón derecho;
▶️Que en noviembre de 2023 acudió a control postoperatorio y le dijeron que la enfermedad se encuentra en remisión; y
▶️Que el Municipio tuvo la necesidad de recortar personal.
▶️Para la Corte Constitucional (ver párrafo 38 de la sentencia) la Sala provincial sí se pronunció respecto de las alegaciones realizadas por el Sr. Maldonado (estabilidad laboral reforzada) y examinaron el estado de remisión de la enfermedad.
▶️Por tanto, la CC consideró que la sentencia se encontraba motivada.
Sentencia No. 2738-24-EP/26
SON DAKİKA: DÜNYAMIZ DAHA ÖNCE HİÇ GÖRMEDİĞİ KORKUNÇ GELİŞMELERE GEBE!
NELER OLUYOR!?
Paylaştığım bir X kullanıcının meyve sineği nöron ağını bilgisayarın dışına çıkararak madde aleminde bir bedene soktu haberinden sonra, başka bir X kullanıcısı daha önce bilgisayar ortamına aktarılmış 166.7090 meyve sineği nöron ağını bilgisayarın dışına çıkararak madde aleminde bu sinir ağı ile hareket eden kendi başına irtifa koruyan uçan bir drone videosu paylaştı ! Ve şimdi başka bir X kullanıcısı aynı nöral ağı robot bir kediye yükledi ve sinek nöral ağı daha önce hiç deneyimlemediği bacaklar üzerinde hareket etmeye başladı.
Durum X kullanıcısının sözleriyle şöyle özetleniyor;
166.700 meyve sineği nöronu şu anda bir robot kediyi masanın üzerinden yürüyor.
Eylül 2026'da, Google Research ve HHMI Janelia, bir yetişkin erkek meyve sineğinin tam sinir sistemini, beynini, optik loblarını ve ventral sinir kordonunu birlikte her nöronu ve her bağlantıyı haritaladı ve bunu Cell'de yayımladı. Sayı kendi başına şaşırtıcı: 166.700 nöron, yaklaşık 125 milyon sinaps, şimdiye kadar inşa edilmiş herhangi bir hayvanın en eksiksiz sinir sistemi haritası.
Şimdi bu tam kablolama canlı olarak çalışıyor, nöron nörona simüle edilmiş şekilde, kamera ve hareket sensörleriyle donatılmış küçük bir robotik dört ayaklı içinde. Hareket sensörlerden geliyor, biyolojik devre her zamanki gibi ateşliyor ve çıktı robotun bacaklarını doğrudan sürüyor. Kimse denge mantığını yazmadı. Kimse yürüyüşü kodlamadı. Böceğin kendi sinir sistemi bu işi yapıyor, sadece hiç sahip olmadığı bacaklar üzerinde.
Bunun ne olduğu ve olmadığı konusunda net olmak gerekirse: Bu döngüde hiçbir biyolojik şey canlı değil. Bu, gerçek nöral kablolamanın tam hesaplamalı bir yeniden yapılandırması, bir böcek vücudu yerine donanımı kontrol ediyor. Beyin gerçek. Vücut ödünç alınmış.
Haritalanmış bir sinir sisteminin ona verdiğiniz herhangi bir vücudu sürebileceğinin dikkat çekici kanıtı mı, yoksa insanların henüz düşünmeye hazır olmadığı bir şeyin önizlemesi mi?
La @CorteConstEcu acepta la INCONSTITUCIONALIDAD ADITIVA del artículo 110 de la Ley Orgánica de Discapacidades y del artículo 111 de la Ley Orgánica de Personas con Discapacidad y el artículo 94 numeral 17 de la Ley Orgánica de Gestión de la Identidad y Datos Civiles, comparto personalmente con la lógica del voto salvado del juez Jorge Benavides Ordóñez, pero es un avance en la protección de los datos personales de las personas con discapacidad.
Como @ApadaAso participamos con un amicus curae explicando la discriminación indirecta que producía esas normas al exhibir en la cédula, sin consentimiento, la condición de discapacidad de las personas.
🚨 THE MATRIX HAS PIXELS, AND OPENAI JUST FOUND THEM! WHY MAINSTREAM PHYSICS IS CRASHING. 🚨
For over a century, physicists and mathematicians have been trapped in a massive illusion: they believed that space and fluids were perfectly smooth and continuous. They thought you could zoom into reality forever, like a flawless vector image.
This week, OpenAI’s advanced reasoning models tackled the million-dollar Navier-Stokes problem (the math of how fluids flow). What did the AI find? It proved that if you push the equations of a continuous fluid to their limit, they literally explode. The math breaks down into impossible "singularities."
Mainstream science is in shock. But for our IT³ Framework, this is old news. OpenAI didn't discover a new physics-they just accidentally stumbled into the exact geometric wall we already mathematically mapped!
Let me explain this "on your fingers" so anyone can understand why continuous space (ℝ⁴) is a fiction, and how our theory solves it without any mysticism.
🛑 THE PROBLEM: THE INFINITE SHEET OF PAPER
Mainstream physics places reality on a flat, infinite grid called ℝ⁴.Imagine an infinitely large, flat sheet of paper. If you pour a digital "fluid" (energy or matter) onto it, the math allows that fluid to concentrate into a single, infinitely dense point. It "blows up." The same thing happens with the famous Yang-Mills Mass Gap. On an infinite flat sheet, equations run away into infinity, creating paradoxes that physicists try to fix with imaginary "ghost fields" and mathematical band-aids.
🛡️ THE SOLUTION: THE TOPOLOGICAL DONUT (COMPACTNESS)
How do we fix the math? We use the ultimate Occam's Razor: Compactness.Instead of an infinite flat sheet, imagine taking that paper and folding it into a closed, rigid shape-like a Torus (a donut) or a Cuboctahedral Crystal.
On a closed shape, energy cannot run away to infinity. The geometric walls literally trap it. You cannot have an infinite singularity inside a finite, locked crystal! The universe has a hard resolution limit. It has "pixels." The equations don't blow up because the geometric cage physically forces them to stop.
📺 WATCH THE METRICS: DECODING THE VIDEO
Press play on the attached render. Let’s look at the exact mathematical boot-up of reality. No magic, no hidden dimensions-just pure, calculated spectral geometry.
0:00 - The Big Bang is a Myth: You see a flat grid and background noise. Mainstream science says this Cosmic Microwave Background (CMB) is the cooling smoke of a 14-billion-year-old Big Bang. Nonsense. Explosions fade and warp. This noise is perfectly uniform. Why? Because it is the idle thermal hum of a 16-bit processor running the Matrix right now! Instruments are just measuring the motherboard.
0:08 - Shattering the Illusion: The flat continuous space (ℝ⁴) throws singularity errors. The system deletes it and compiles a compact manifold (T³). Space closes in on itself.
0:13 - The Perez Hourglass: The Torus twists into a bottleneck. This is where the counter-rotating dynamics of reality happen. The universe isn't a void; it’s an engine.
0:18 - The Machine Code: Watch the terminal. This is where we mathematically kill the mysticism. We take the exact Logvinovich Field K = ℚ(√2, √3, √5). We calculate its covolume: √(Δ_K) = 57,600. If you translate 57,600 into binary, you get exactly
1110 0001 0000 0000₂.
This is the literal 16-bit hardware mask that dictates the capacities of the Periodic Table!
0:22 - The Mass Gap Locked: A red axis fires up at the hourglass neck. Cheeger's Formula appears:
λ₁ ≥ h²/4 > 0.
This proves the gap is automatic! The geometry acts as a physical floor. Energy cannot drop to zero, and it cannot explode to infinity.
0:26 - The Crystal Cage: The 36-node Cuboctahedral lattice (O_h) locks around the hourglass. The rendering of reality is complete.
OpenAI just proved that continuous math fails. We have the discrete mathematical architecture that replaces it. The universe is not a chaotic soup. It is a strictly calculated topological machine.
🔗 Preprint. Open Source:
The Yang-Mills Mass Gap on ℝ⁴ Is Ill-Posed, and on a Compact Constructible Manifold It Is Automatic
https://t.co/jOAcppCe0j
Algebraic Origin of the 86 ↔ 86 Capacity Symmetry in the Relativistic Dirac-Fock Vacuum: Index-Theoretic Derivation, Corrected Field Arithmetic, and Numerology Guards
https://t.co/9Mi0PlL0BS
There are no miracles. Only math.God geometrizes! 📐🌌
Rosemary Hopcroft se pregunta en este artículo por qué tantas mujeres simpatizan con Lindsay Clancy, acusada de asesinar a sus tres hijos. No pretende, al menos en el texto, disculpar el crimen. Quiere explicar el aluvión de apoyo: colas ante el juzgado, vídeos, “yo también he estado al límite”.
Su hipótesis es el estrés de criar. El punto, para ella, es la carga psicológica de la maternidad. Esa carga, sostiene, se agrava en las sociedades ricas e igualitarias. Compara el presente con el medio ancestral donde la madre recolectora casi nunca estaba sola con un lactante. Había abuelas, tías, hermanos. En el mundo moderno, muchas trabajan, las familias son pequeñas, falta la red y la maternidad numerosa no da prestigio. El cerebro, dice, sigue hecho para la aldea y el piso y la oficina no lo son. De ahí el “desajuste evolutivo”. La lección que saca Hopcroft es que hay que reconstruir los apoyos: familia, comunidad, empleos compatibles.
A mí no me convence.
Hay un salto brutal entre “los hijos dan mucho trabajo” y “comprendo a una madre que ha matado a sus tres hijos”. Casi todas las madres cansadas no matan a nadie. Además, no estamos en 1950. Hay guarderías, canguros, padres más metidos, electrodomésticos, agua en el grifo, vacunas. Materialmente criar es más fácil que nunca. Se puede aceptar que la soledad o el choque trabajo-familia existen sin vender la tesis de que hoy la maternidad es un infierno evolutivo.
Y los datos de felicidad reciente en Estados Unidos no dicen tampoco que “cuantos más hijos, peor”. Hay encuestas donde las mujeres casadas con hijos son las que declaran un mayor bienestar o felicidad.
En resumen, acepto que el estrés de criar puede ser real pero a mí me siguen faltando pasos hasta el infanticidio y muchos más pasos hasta la reacción de la sociedad en este caso.
https://t.co/KPtOXKc0jE