Results 201 to 210 of about 60,956 (264)

Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 540-550, March 2025.
ABSTRACT We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented disease progression to death—and overall survival (OS) in Head and Neck Squamous Cell ...
Kevin Atsou   +4 more
wiley   +1 more source

Assay of Ds2 Transposition Activity in the Maize W22. [PDF]

open access: yesMicroPubl Biol
Kaur H   +5 more
europepmc   +1 more source

Sonified Signals From a Compact FT‐ICR Instrument: A Feasibility Study. I—Data Mapping to an Equal‐Tempered Chromatic Scale

open access: yesRapid Communications in Mass Spectrometry, EarlyView.
ABSTRACT Rationale Ions trapped within a Penning cell (ICR) travel periodic orbits whose frequencies are dependent on their mass‐to‐charge ratio and the value of the magnetic field passing through the trap. Fourier transformation (FT‐ICR) decomposes the signal induced in the detection circuit by the rotation of the ions in the cell after the ...
Patrick Arpino, Michel Heninger
wiley   +1 more source

A UAV‐based deep learning pipeline for intertidal macrobenthos monitoring: Behavioral and age classification in Tachypleus tridentatus

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
The endangered tri‐spine horseshoe crab (Tachypleus tridentatus), a “living fossil” crucial to coastal ecology and biomedical research, is experiencing severe population declines. Effective conservation requires efficient monitoring, which traditional methods cannot deliver at scale. We develop an integrated UAV deep learning framework tailored to this
Xiaohai Chen   +7 more
wiley   +1 more source

Phylogeny, species delimitation and machine learning bridge the gap between DNA sequences and morphology in the lichen genus Arctomia (Arctomiaceae, Ascomycota)

open access: yesTAXON, EarlyView.
Abstract This study investigates species boundaries in the lichen genus Arctomia (Arctomiaceae, Ascomycota) using an integrative approach combining molecular phylogenetics, full Bayesian population delimitation, heuristic and model‐based species delimitation, and supervised machine learning applied to morphological data.
Stefan Ekman   +2 more
wiley   +1 more source

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