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Health and Me on MSNAI Tool Can Detect Lung Cancer Early By Analyzing Your Voice: Turkish ScientistsScientists at Ankara University have developed an AI tool that detects early-stage lung cancer with over 90% accuracy by ...
The 'cell of origin' of the second most common lung cancer and the way that it becomes dominant in the lung have been discovered, in a new study in mice and humans from researchers at UCL, the ...
Although immunotherapies and biomarker-driven interventions have transformed lung cancer outcomes, Martin Edelman, MD, Fox Chase Cancer Center, highlighted the present challenge hindering clinicians' ...
In his latest work Breathing Architecture II, multimedia artist Filippo Nassetti explores the intersection between the digital and physical.
The following is a summary of “Heme-induced lung injury in human precision-cut lung slices: a new model for acute lung injury,” published in the April 2025 issue of Respiratory Research by Kewalramani ...
The ULTR-AI suite comprises three deep-learning models: ULTR-AI predicts TB directly from lung ultrasound images; ULTR-AI (signs) detects ultrasound patterns as interpreted by human experts ...
“By creating precise, patient-specific in silico lung models, we were able to demonstrate how inhaled PRS-220 can target diseased tissue effectively, paving the way for more efficient therapies ...
“By creating precise, patient-specific in silico lung models, we were able to demonstrate ... tissue mechanics and anatomical precision to simulate drug transport and deposition in the entire ...
It can even surmise anatomical features of each neuron. The new model is an example of a foundation model, a relatively new class of AI models capable of learning from large datasets, then ...
More information: Sarah R. Losso et al, Helmetia expansa Walcott, 1918 revisited – new insights into the internal anatomy, moulting and phylogeny of Conciliterga, Journal of Systematic ...
Department of Radiation Oncology, University of Iowa Health Care, Iowa City, Iowa, United States There is a growing interest in the application of MRI-guided adaptive radiotherapy (MRIgART) to improve ...
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