A Cambridge-based oncology - f ocused compan y aims to cur e cancer b y diff er en tia tion ther ap y which in vol ves the tr ansf orma tion o f malignan t cells in to normal functioning cells. T he y appr oached Elucida ta to utiliz e ML e xper tise to iden tify diff er en tia tion tar ge ts in AML and o ther oncology indica tions lik e N eur oblastoma and M elanoma. Finding r ele v an t da t ase ts associa ted wit h AML and o t her oncolo gy indica tions H armonizing t he he ter o geneous da t a types fr om public and in-house r esour ces to a comp ar able and anal yzable f orm De v eloping a st andar d da t a pr ocessing pipeline ML model de v elopmen t f or T ar ge t ID and Pa tien t str a tifica tion www . elucida ta.io Pr oblem St a temen t Challenges: S pending ener gy and e xper ti

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