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Personalized research digests to keep you current
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RNA & Viral
LLMs
AI Med
539
papers scanned
5
matched
Koffee Algorithm: Enabling Fast, Scalable Ligand Residence Time Predictions for Drug Discovery.
Controlled Trial Reveals Limited Influenza Transmission from Mild, Naturally Infected Cases.
SPARK: A framework for simulating nascent RNA sequencing data, excluding RNA processing.
Donor Sex and Platelet Storage Modulate Platelet-Derived Extracellular Vesicle Endothelial Protection.
NMR-based RAMA identifies hot spots to guide directed evolution of large enzymes.
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Engineered for Truth. Grounded in Sources.
Discovery you can trust: tuned matching, conservative claims, and direct links back to the originals.
High-recall discovery
Hybrid semantic + keyword matching to catch relevant work even when the wording differs.
Precision ranking
LLM classifies results into Must-read, Related, or Not relevant, so the shortlist stays tight.
RAG-backed summaries
Summaries
are generated from retrieved passages, anchored to the paper text (not free-form guesswork).
Citations by default
Key claims link back to the original paper, so you can verify fast and trust what you read.
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ML Researcher - Vision & Multimodal
Computer Vision, Machine Learning, AI
arXiv
VLM adapters improve video grounding at low compute
arXiv
Benchmarking multi-image reasoning in long-context LLMs
medRxiv
Clinical signals in multimodal embeddings (early report)
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Clinician - Long-Covid & Immunology
Medicine, Immunology, Public Health
medRxiv
T-cell signatures linked to symptom clusters
medRxiv
Early antiviral trial results
arXiv
Post-viral dysautonomia review
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Founder/PM - Applied LLMs & Agents
NLP, Language Models, AI Applications
arXiv
Structured tool-use with safety rails
arXiv
Latency-aware routing for prod LLMs
arXiv
Evaluation traps in RAG
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For the PhD Candidate
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For the PI / Lab Head
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Keep proposals and project plans informed, not stale, and guide your team with confidence.
For Industry R&D
Missing relevant work is expensive: duplicated effort, slower decisions, and avoidable dead ends.
Spot new methods and results early, before you commit another sprint (or a quarter) to an approach the literature has already moved past.
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