difficile): The Company will consider out-licensing opportunities Evolved treatment options result in low recurrence ... datasets. Recursion leverages sophisticated machine-learning algorithms ...

Utilizing imaging recurrence data, this study applies a recursive feature elimination algorithm to model and predict ... kin because Retrospective studies, from the design of the study to the ...

Still, it reflects that we're constantly flooded with data and information segmented by algorithms ... we risk introducing biases into design decisions and material selection.

epigenetic aging analysis of individual organ systems, using validated and system-specific trained clocks. These algorithms, developed by scientists at Yale University, were previously released in ...

The automatic rule-based recurrence detection algorithm (Auto-Recur), using notes on image reading (positron emission tomography-computed tomography [PET-CT], CT, magnetic resonance imaging [MRI]), ...

WEST LAFAYETTE, Ind. — A Purdue University professor and several international researchers have developed a new method and algorithm that can predict the recurrence of prostate cancer in ...

In this retrospective analysis of ... increased risk of recurrence, a finding not previously reported. Our data suggest that the use of ctDNA-positivity in addition to other clinicopathologic features ...

Introduction to the fundamental techniques of algorithm analysis. Also, Boolean logic, combinatorics, functions, graphs, algebraic structures, recursion, recurrence ...