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Recurrent neural networks (RNNs) are a class of artificial neural network commonly used for sequential data processing. Unlike feedforward neural networks , which process data in a single pass, RNNs process data across multiple time steps, making them well-adapted for modelling and processing text, speech, and time series .
The beta radiation released damages both normal thyroid tissue and any thyroid cancer that behaves like normal thyroid in taking up iodine, so providing the therapeutic effect, whilst most of the gamma radiation escapes the patient's body. [7] Most of the iodine not taken up by thyroid tissue is excreted through the kidneys into the urine.
In 1982 a recurrent neural network, with an array architecture (rather than a multilayer perceptron architecture), named Crossbar Adaptive Array [65] [66] used direct recurrent connections from the output to the supervisor (teaching ) inputs. In addition of computing actions (decisions), it computed internal state evaluations (emotions) of the ...
RNN or rnn may refer to: Random neural network , a mathematical representation of an interconnected network of neurons or cells which exchange spiking signals Recurrent neural network , a class of artificial neural networks where connections between nodes form a directed graph along a temporal sequence
Progression-free survival is commonly used as an alternative to overall survival (OS). In some cancers, PFS and OS are strictly related, but in others they are not. In a time trade off study in renal cancer, physicians rated PFS the most important aspect of treatment, while for patients it fell below fatigue, hand foot syndrome, and other ...
Theranostics originated in the field of nuclear medicine; iodine isotope 131 for the diagnostic study and treatment of thyroid cancer was one of its earliest applications. [7] Nuclear medicine encompasses various substances, either alone or in combination, that can be used for diagnostic imaging and targeted therapy.
Immune gene therapy is a targeted approach to cancer therapy where actual immune cells of the patient and their genes are manipulated to produce an anti-tumor response. [5] The body's own immune system is used to attack the tumor cells, therefore the immune system can naturally attack the specific cancer cells again to in the future if ...
The random neural network (RNN) [1] is a mathematical representation of an interconnected network of neurons or cells which exchange spiking signals. It was invented by Erol Gelenbe and is linked to the G-network model of queueing networks as well as to Gene Regulatory Network models. Each cell state is represented by an integer whose value ...