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Lord Kelvin, uno de los f\u00edsicos m\u00e1s importantes de la historia, dec\u00eda que solo cuando puedes hacer medidas sobre lo que est\u00e1s hablando, y expresarlo en n\u00fameros, sabes algo al respecto. Si no, afirmaba, tu conocimiento es pobre e insatisfactorio. La medici\u00f3n precisa y omnipresente est\u00e1 detr\u00e1s del inmenso progreso tecnol\u00f3gico del \u00faltimo siglo y medio, y tambi\u00e9n de la medicina personalizada. Esa medicina de precisi\u00f3n<\/a> aspira a curar la enfermedad particular de cada individuo con tratamientos personalizados y, aunque no sea una enfermedad, el envejecimiento est\u00e1 detr\u00e1s de todas las enfermedades. Kelvin, que vivi\u00f3 en el siglo XIX y predijo la muerte del universo con su segunda ley de la termodin\u00e1mica<\/a>, sab\u00eda tan bien como nosotros que todos envejecemos, pero no habr\u00eda podido expresarlo en n\u00fameros, m\u00e1s all\u00e1 de los a\u00f1os del calendario, ni explicar por qu\u00e9 cada uno envejece a un ritmo distinto.<\/p>\n Recientemente, un equipo de cient\u00edficos liderado por Christos Davatzikos, de la Universidad de Pensilvania (EE UU), ha publicado en Nature Medicine<\/i><\/a> <\/i>un trabajo en el que se han identificado diferentes formas en que nuestro cerebro se desmorona con el paso de los a\u00f1os y que promete una medida m\u00e1s individualizada del envejecimiento. Analizaron 50.000 esc\u00e1neres cerebrales que revelaron cinco formas distintas de atrofia cerebral asociada al envejecimiento y a la aparici\u00f3n de enfermedades neurodegenerativas. Aunque el ojo humano no puede detectar los cambios sutiles que existen entre estos cinco patrones, lograron identificarlos utilizando tecnolog\u00eda de aprendizaje autom\u00e1tico. Los autores entrenaron un algoritmo mostr\u00e1ndole esc\u00e1neres de 1.150 personas sanas de entre 20 y 50 a\u00f1os y de casi 9.000 personas a partir de esa edad, sanas y con deterioro cognitivo.<\/p>\n