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recent work shows that PKCα signalling sustains the undifferentiated state of DMG and suppresses MHC-II expression, an effect reminiscent of demyelinating diseases such as multiple sclerosis, where HLA
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of endocrine disorders, with a focus on adrenal insufficiency. The project will: Design and evaluate multimodal AI architectures that combine wearable-derived time-series signals, structured clinical data, and
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within the cortex region of a healthy adrenal gland. Quantifying the effect that pathway signalling dysregulation in different zones of the cortex has on expression levels of corticoids and androgens
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change, market dynamics, and daily grid variations. These factors contribute to heightened structural and control complexity, along with multiple layers of uncertainty. In this context, Hybrid Power Plants
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learning, etc.); · Knowledge of explainable AI and Knowledge Graphs with ontology (e.g., RDFS, OWL); · Demonstrated experience with common advanced signal processing techniques (e.g. denoising
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-derived time-series signals, structured clinical data, and patient-generated language reports. Explore advanced fusion strategies for integrating heterogeneous modalities into context-aware clinical
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of corticoids and androgens varies within the cortex region of a healthy adrenal gland. Quantifying the effect that pathway signalling dysregulation in different zones of the cortex has on expression levels
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integrate multiple signals during communication (e.g., using insights from psycholinguistics and neuroscience to inform computational models of multimodal language processing- Building AI agents that engage
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for multiple pathogenic processes such as impaired protein aggregate clearance and pathological exosome mediated spreading. These evolutionarily conserved protein complexes orchestrate the clearance
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interactions and dynamic protein states are important for cellular identity. Aberrations in proteins drive oncogenic signalling and disease progression. The goal of the Oncode Accelerator Growth Fund project is