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【正嘢！】《社群》專區登錄App！ 香港中文大學醫學院開發出一種精確計算模型「beth-1」，該模型能準確預測流感病毒的基因進化，為疫苗的設計和製造提供重要支持，預計將顯著提高流感疫苗的效果，這項研究已於《自然通訊》期刊上發表。 流感病毒的持續變異是公共衛生領域的主要挑戰之一。傳統的疫苗製造通常需要在流感季節開始前的至少九個月，透過分析預測病毒變異來選擇疫苗中的病毒株。然而，由於病毒的快速演變，現有的預測方法並不總是能夠準確地捕捉到未來流行的病毒株，「beth-1」的發展具有重大意義。 「beth-1」模型透過分析大量的病毒基因組和流行病學數據，識別出能夠量化病毒基因變異的關鍵參數，從而預測病毒的演變趨勢。研究結果顯示，此模型能夠以高達88%的準確率預測流行的病毒株，相較於現有模型，其預測的病毒株與實際流行病毒株的匹配度更高。 研究團隊的成員包括曹莉蓉博士、副教授王海天教授、徐仲鍈教授及博士生樓靜緻小姐。團隊表示，使用「beth-1」進行疫苗株的選擇，預計可以將H1N1病毒的疫苗效力提高13%，對H3N2病毒的效力提高11%。這種提升不僅可以減少流感的發生率，還能顯著降低因流感引起的醫院住院案例。 此外，「beth-1」的發展體現跨學科合作的力量。該計畫收集了統計學、計算生物學、流行病學、病毒學和免疫學等領域的專家，共同努力將科學研究轉化為實際可應用的工具。王海天教授指出，除了流感病毒，「beth-1」也有潛力應用於其他易於變異的病毒，如新冠病毒，這將為未來的疫苗開發提供更廣泛的應用前景。 目前，中大醫學院的研究團隊正與內地科研機構合作，使用「beth-1」在動物實驗中開發更具保護功效的疫苗。徐仲鍈教授強調，「beth-1」不僅在病毒實驗室中有廣泛的應用潛力，也為疫苗製造商和衛生機構提供了一個重要的決策工具。 【相關報道】 【相關報道】 【相關報道】 Source：香港中文大學、Nature
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