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Innovating Thyroid Health with Genomics and Predictive Algorithms through Collaborative Excellence

Project description

Genomics and AI-driven diagnosis of thyroid disorders

The thyroid gland produces hormones that regulate metabolism, growth, and energy production. Thyroid malfunction is associated with various disorders including hypothyroidism, hyperthyroidism and autoimmune diseases such as Hashimoto's thyroiditis and Graves' disease. The EU-funded InnoThyroGen project aims to improve diagnosis and treatment of thyroid disorders with patients often experiencing improper dosing or significant side effects. Advances in genomics, such as next-generation sequencing and polygenic risk scores, combined with electronic health records and lifestyle data, offer promising tools for improved prediction and prevention. AI-driven innovations and pharmacogenomics enable tailored treatments, paving the way for cost-effective, precision medicine for thyroid disorders.

Objective

Global research indicates that millions of people suffer from thyroid disorders, such as hypothyroidism, hyperthyroidism, autoimmune diseases, and tumors, with nearly 60% of them unaware of their condition. Autoimmune thyroid diseases, notably Hashimoto's thyroiditis and Graves' disease, are the most prevalent, affecting about 5% of the population. Thyroid cancers are also on the rise, with significant increases in detection over recent decades. Despite various treatment and diagnostic options, many face misdiagnosis, ineffective treatments, and diminished quality of life. Levothyroxine, a synthetic thyroid hormone, is widely prescribed in Europe and the USA, yet 20-50% of patients experience improper dosing, necessitating frequent adjustments. Antithyroid medications can cause severe side effects, underscoring the need for careful management of thyroid diseases to avoid increased healthcare costs and lost productivity. Current treatment approaches, often not personalized, overlook genetic predispositions and environmental factors. Advances in genomics, such as next-generation sequencing (NGS) and the polygenic risk score (PRS), offer new opportunities for personalized medicine. These tools, combined with electronic health records (EHR) and lifestyle data, can improve disease prediction and prevention strategies. Pharmacogenomics further enables tailored drug treatment based on individual genetic profiles, promising more effective and personalized care. The design of thyroid disease gene panels and the development of innovative and digital solutions based on artificial intelligence stand as pivotal advancements. These could markedly accelerate the integration of more personalized and cost-effective approaches into clinical practice, heralding a new era of precision medicine for thyroid disorders.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-CSA - HORIZON Coordination and Support Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-WIDERA-2023-ACCESS-07

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Coordinator

SVEUCILISTE U SPLITU MEDICINSKI FAKULTET
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 644 000,00
Address
SOLTANSKA ULICA 2A
21000 SPLIT
Croatia

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Region
Hrvatska Jadranska Hrvatska Splitsko-dalmatinska županija
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 644 000,00

Participants (12)

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