acute myeloid leukemia
PulseAugur coverage of acute myeloid leukemia — every cluster mentioning acute myeloid leukemia across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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AI model predicts AML mutations from flow cytometry data
Researchers have developed an interpretable multi-instance learning model that can predict key molecular alterations in acute myeloid leukemia (AML) from routine flow cytometry data. This approach, which models patient …
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New MPC Framework Enables Privacy-Preserving CellCnn for Disease Detection
Researchers have developed a novel framework using secure multi-party computation (MPC) to train and deploy CellCnn, a convolutional neural network designed for detecting rare disease-associated cell subsets. This metho…
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New framework improves leukemia cell classification using AI models
Researchers have developed a new framework for classifying leukemia cells using a two-stage pipeline that leverages pretrained vision foundation models. The first stage performs a binary classification of leukemia versu…
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Open-source AI tool trains lab staff in flow cytometry and leukemia diagnosis
A hospital laboratory scientist has developed an open-source, interactive web-based training tool called Flow-Gate Learn to assist in teaching clinical flow cytometry and immunophenotyping. The application, built using …
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AI system Co-Scientist accelerates scientific discovery with Gemini
Researchers have developed Co-Scientist, a multi-agent AI system designed to accelerate scientific discovery by generating and refining novel hypotheses for experimental validation. Built on Google's Gemini model, Co-Sc…
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Deep learning aids acute myeloid leukemia diagnosis from bone marrow smears
Researchers have developed a deep learning pipeline to assist in the diagnosis of acute myeloid leukemia (AML) using bone marrow smear images. The system analyzes individual cells to aggregate findings at the patient le…
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AI system Co-Scientist ranks scientific hypotheses and proposes leukemia drug candidates
Co-Scientist, an AI system, has demonstrated its ability to rank scientific hypotheses through a multi-agent tournament. Hypotheses are evaluated based on their performance in debates, with the AI model judging its own …
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New mechanism design framework tackles compliance moral hazard in banking networks
Researchers have developed a mechanism design framework to address information aggregation problems in decentralized risk analytics, specifically within anti-money laundering (AML) in banking networks. The proposed Temp…
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Didit launches Stripe-like identity verification platform with integrated AI
Didit, a startup founded by identical twins, has launched a new platform designed to streamline identity verification processes for businesses. The service aims to simplify the complex and fragmented landscape of KYC, A…