NickTheGreek retweeted
New molecular technology targets tumors and simultaneously silences two 'undruggable' cancer genes Researchers at UNC Lineberger Comprehensive Cancer Center have developed a groundbreaking "two-in-one" RNAi based molecule that can simultaneously silence two major cancer driving genes, KRAS and MYC, both historically difficult to target. This dual silencing approach showed up to 40 fold greater effectiveness in reducing cancer cell viability compared to targeting each gene individually. The molecule also enables targeted drug delivery to tumors expressing these genes. Since KRAS and MYC are involved in many aggressive cancers, this innovation holds broad therapeutic potential. Published in The Journal of Clinical Investigation, the findings mark a major step forward in cancer treatment, with future possibilities for co targeting even three genes at once.
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NickTheGreek retweeted
often i get worked up for no good reason and then calm down very soon after remembering this quote
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International conference "Limb Development and Regeneration" 23-27 March, 2026. Tokyo, JAPAN. cscenter.co.jp/limbdev26/
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Εντάξει βρε παιδιά, μπορεί η Καλλιόπη και ο άντρας της να φέρεται να έκαναν κομπίνα στον #ΟΠΕΚΕΠΕ αλλά το 2021 δώρισαν ένα δέντρο πέντε μέτρων στο ΕΚΑΒ της Κοζάνης
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NickTheGreek retweeted
Your brain at 80 can grow new neurons. Your brain at 40 can rewire itself. Your brain right now is changing. "Too old to change" is the biggest lie you tell yourself.
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NickTheGreek retweeted
Guy has his fingers positioned wrong on his keyboard and types gibberish into ChatGPT. It decodes what he meant to say by assuming his hand was shifted right and re-mapping his fingers 🤯 (from u/mimic751)
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NickTheGreek retweeted
Η Ποπαρα είναι απόφοιτος ανώτερων δημοσίων σχολείων της Γερμανίας ( Λυκείου δλδ🤡) αλλά δεν μας διευκρινίζει αν αποφοίτησε τελικά από το ΙΕΚ Πυθαγόρας 🧐
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Στην ΝΔ δεν ξέρουν το λαμόγιο Πόπη Σαμαρτζίδου. Απλά ήταν υποψήφια βουλευτής Κοζάνης με ΝΔ, έχει βγει φωτό με όλη την ΝΔ και ο άντρας της πήρε 1,5 επιδότηση από τον #ΟΠΕΚΕΠΕ. Έτσι η Ποπάρα οδηγεί και Πόρσε. #ΝΔ_κλέφτες
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Να έχει πάρει ο πατέρας σου ένα εκατομμύριο από τον ΟΠΕΚΕΠΕ να σου ανοίγει στρωμένη επιχείρηση και να λες μετά εγώ δε μπηκα στο δημόσιο διότι είχα όνειρα και αποφάσισα να παλέψω στον ιδιωτικό τομέα.
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This was fast. How did it happen?
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NickTheGreek retweeted
Meet Andrew Tulloch he turned down Zucc’s $1.5 billion dollar offer
we learn the name of zuck’s billion-dollar target: andrew tulloch, mira’s chief systems architect, former openai, former meta “the subject of a spirited recruitment campaign” he turned down a potential $1.5 billion
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RT @nikglykos: Βρέθηκε η γυναίκα που ήταν με το νεκρό κοριτσάκι που δεν ζητούσε κανείς. Αλγερινή. Τι αξία έχει για τον μουσουλμάνο ένα κορί…
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NickTheGreek retweeted
Soon they will be also buying a robot and paying the same monthly payment to get one, starting with the higher income families at <$1000/mo and going to $300/mo for everyone?
The first thing people do when progressing from low income to lower-middle income in most of the country is buy a car. It’s the single biggest improvement in quality of life.
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NickTheGreek retweeted
A groundbreaking Nature study unveils a powerful new method using RFdiffusion to design protein binders that can finally target the elusive, shape shifting IDPs and IDRs - proteins long considered "undruggable." By sampling both target and binder conformations directly from sequence alone, this technique breaks past structural barriers, opening the door to a new class of precision therapies for cancer, neurodegeneration, and beyond.
Diffusing Protein Binders to Intrinsically Disordered Proteins 🚀 New paper from David Baker!🚀 1. A groundbreaking study published in Nature demonstrates a novel method for designing protein binders that can target intrinsically disordered proteins (IDPs) and regions (IDRs) with high affinity and specificity. This approach leverages RFdiffusion, a powerful computational tool that generates binders by freely sampling both target and binding protein conformations from the target sequence alone. 2. The research team successfully created binders for a diverse set of IDPs and IDRs, including amylin, C-peptide, VP48, and BRCA1_ARATH, with dissociation constants (Kd) ranging from 3 to 100 nM. These binders were shown to bind their respective targets in cells, highlighting the potential for therapeutic and diagnostic applications. 3. A key innovation is the ability to design binders without pre-specifying the target geometry, allowing the binder to select a specific conformation from a broad ensemble of possible states. This induced-fit mechanism is particularly effective for IDPs, which lack a single well-defined structure. 4. The study also introduced a two-sided partial diffusion approach to optimize binding affinity, resulting in binders with significantly improved metrics compared to traditional one-sided diffusion methods. This technique allows both the target and binder to adapt their conformations during the design process. 5. For shorter IDRs, the researchers incorporated secondary structure specification into the RFdiffusion model, enabling the design of binders that interact with β-strand conformations of the target. This method significantly increased the efficiency of generating high-affinity binders. 6. The designed binders were validated through crystallography, showing close agreement between the computational models and experimental structures. Additionally, the binders demonstrated high specificity for their intended targets in all-by-all binding experiments. 7. In cellular experiments, the binders colocalized with their full-length targets, confirming their ability to engage targets in a cellular context. Notably, the G3BP1 binder disrupted stress granule formation, while the amylin binder inhibited amyloid fibril formation and dissociated existing fibers. 8. The amylin binder was further shown to enhance the sensitivity of mass spectrometry-based amylin detection and enable lysosomal targeting of amylin monomers and fibrils, demonstrating the potential for improving diagnostic techniques and therapeutic interventions. 9. This work represents a significant advancement in the field of protein design, offering a versatile and powerful approach to targeting IDPs and IDRs. The method has broad implications for understanding and modulating protein interactions in various biological contexts. 💻Code: doi.org/10.5281/zenodo.15453… 📜Paper: nature.com/articles/s41586-0… #ProteinDesign #IDPs #Therapeutics #ComputationalBiology #Innovation
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🇮🇱 Στιγμές υπερηφάνειας για την ισραηλινή ιατρική! Το Reducer, ένα πρωτοποριακό καρδιακό εμφύτευμα που αναπτύχθηκε στο νοσοκομείο@ichilov_tlv, μόλις εγκρίθηκε για χρήση στο Ισραήλ. Τοποθετούμενο μέσω απλού καθετηριασμού, αυτή η μικροσκοπική συσκευή βελτιώνει τη ροή του αίματος και ανακουφίζει από τον έντονο πόνο στο στήθος. Πάνω από το 75% των ασθενών αναφέρουν σημαντικές βελτιώσεις στην ποιότητα ζωής. Μια καινοτομία κατασκευασμένη στο Ισραήλ, που τώρα σώζει ζωές. ❤️🫀
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NickTheGreek retweeted
Prior to 1979 interview Dr Becker was up for two Noble prizes for his work on body electrical and using DC electricity coupled to silver impregnated nylon mesh which heals “non union” broken bones, muscle, etc. He was investigating limb regeneration as way to help his patients.
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NickTheGreek retweeted
AI lies with confidence. But Alibaba found a way to cut hallucinations by 50%. Standard DPO (Direct Preference Optimization) is prone to "spurious correlations," teaching your Multimodal LLM to recognize the style of a correct answer, not the truth tied to a picture. This "distributional rigidity" is why your AI can sound so confident while being completely wrong. This new paper from Xiamen University introduces TARS, a strategy that treats alignment as an adversarial game. Instead of just rewarding good answers, TARS first identifies "visual-agnostic tokens." These are words like "the", "where", and "to" that aren't tied to the image. It then runs a perturbation, intentionally scrambling these words so the model doesn't focus on the structure of the sentence but the image itself. This "min-max optimization" prevents the AI from being lazy and skipping the tokens tied to the image. The proof is in the numbers. This method slashed the hallucination rate from 26.4% to 13.2% using a tiny dataset of just 4.8k samples. No expert feedback needed.
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NickTheGreek retweeted
Cool paper. How Far Are AI Scientists from Changing the World?
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