Abstract: A system includes memory storing instructions and a processing device coupled to the memory. The processing device executes the instructions to: receive a noisy audio signal from an audio receiver; pass the noisy audio signal through a deep neural network (DNN) model to generate a mask of a magnitude spectrogram of the noisy audio signal; retrieve a clean-only audio spectra and a noise-only spectra of one or more frequencies that exist within the noisy audio signal; generate a loss function as a combination of the clean-only audio spectra multiplied by the mask and the noise-only spectra multiplied by the mask; and train the DNN model while minimizing the loss function to generate a trained DNN model useable in audio noise suppression and dereverberation.

Abstract: Methods and systems for a machine learning model architecture for speech enhancement system. The disclosed machine learning model architecture includes, among other things, an encoder, a decoder, and a bottleneck disposed between the encoder and the decoder. The encoder includes a plurality of encoder layers, and the decoder includes a plurality of decoder layers. Each encoder layer is connected to a corresponding decoder layer via a skip connection. Each encoder layer includes a Res2Net and a squeeze-and-excitation (SE) block. The bottleneck includes a first gated recurrent unit (GRU) layers and a second GRU layer.

Abstract: A system can include one or more processors configured to identify a candidate molecule, provide the candidate molecule as an input to a simulation, operate the simulation, monitor at least one parameter of the simulation, modify the candidate molecule based on the at least one parameter, and output the modified candidate molecule responsive to a convergence condition being satisfied.

Abstract: Various biological markers that function as indicators of the level of senescent cells in an organism are provided. In certain embodiments, the markers described herein (e.g., eicosanoids) can provide effective indicators of the presence and/or quantity of senescent cells in a subject (e.g., in a human or non-human mammal) and methods of identifying elevated levels of senescent cells in a mammal, and methods for determining the efficacy of senolytic agents, are provided.