JFIFPhotoshop 3.08BIMd@Innovative AI Technique Predicts Radiation Dosage Prior to Treat720260530PSCIENMAGUAuthor`Innovative AI Technique Predicts Radiation Dosage Prior to Treatment in Advanced Prostate Cancer Science@https://scienmag.com/innovative-ai-technique-predicts-radiation-© 2026 Sciencehttps://scienmag.com/A groundbreaking advancement in the realm of metastatic castration-resistant prostate cancer (mCRPC) therapy has emerged from a recent study involving machine learning and molecular imaging. Researchers have developed an innovative predictive model capable of estimating the radiation dose that tumors and critical organs might absorb during ^177Lu-PSMA radiopharmaceutical therapy, a leading treatment modality for mCRPC. […]ScienceMedMedicineMedicine2^177Lu-PSMA radiopharmaceutical therapy prediction)advanced prostate cancer therapy planning.clinical workflow optimization in radiotherapy innovative AI models in oncology'machine learning in radiation dosimetry9metastatic castration-resistant prostate cancer treatment&molecular imaging for cancer treatment&non-invasive radiation dose prediction(optimizing radionuclide therapy outcomes*patient-specific radiation dose estimation*personalized dosimetry for prostate cancer$pre-therapy ^18F-PSMA PET/CT imagingC    !'"#%%%),($+!$%$C   $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$"9!1A"Qa2BRq#3%Cbr5S3!1"AQ2aq#3BR ?h0O}Tp;YGj=[3DH P{nsT=pk9IJ''JD!RT=kn)ŕ(MyI{nL?9·I5Xw}6ڜPJRI>a.JF5XcJH,gfi=ћe"#Ac=;ӛW6 (F!COV yF_e[&̈ 7$}CI[ r )?(&)BmpZ8&NVc[v RаJM]R9U'k%u ~iصx#R?2i}IRB0?fVS*+r(+>Vu$їjTR$sP8utSjW@?h- $An *#O ¡]+bªuEJ$]߸>cKR0K|(*R+F/0RP+J#)7\:zBȜ}BM&95dѴ6kC`ʙˇNz&\PۄegV+ خPAIqm@bCn#Ze(W9i+QU۵E;OjU璥tF潠kY|]"7)!.CӚeck-9pj7S֥eAVT4Du~ 2RctgKmAKIM)jQ::ʎR~+2  41йy *дLrq]#po6wwGum8 \F\ ޜ![IBYFTՖ&b,T(;u& cM%4mOEߴ#+NұЊ8j>+jj{J+=S)'Ri׬_(XE[`8+pSJ$Z)msJ=}dR@6SNF)g`m^?5JIkVrN~)dr0sj/ ,a= c"=w6 j-@pEXU]ނc'cg\YenPɡ\3y5+ cET-CZS=̍OdtԳn{CG*VVs]\ct7hUcmWQ%o:JGjewR"]rE=kFXm5>ʱjws+j) .SWnSR-u- p)zZ\RԚI-/%v* qg*QLo&ۨ 9ֹq(Ͳ&! "2EuKpV[hYP WWHP[[@_4t;S=u,Ȓψ~ԫinoEnCB#+WY3wJS KKXernP''1'm$mZ'#%Q}5%ī4f2l(T 5ϑ8`^& L( Y6[fvHj ÉQH7r!\laԕ5 Lu!OgeS6% B*$WxYǩb 0A% RCJ+#W8V,Lċw_*/JӮHyGt^V/Gq'ޖc+Fzvu*WELCjoz2Nh UTӧ*q6Rܶ%[{x`P}ť786H8-ufnIQS(߻޾4ܑ ̇RҸHkQ} Keĸ=#w u>:Ҽ. ͜; G۟\5PR=IڇX&t[ ($$"aG,]h:RaC.(Z v4+8s:Y-dԺjHnNq{!-Z wx !<_i)B-(+dM")l yĭnD&+uCn{ U=`zrx793 *⇈ӵ #9Ejj-uZP|RwG>iTIŵ$(5T9gD}R F&>ڷ8wˍ'p!';s}4ͽ%j mI꓃^I(R U8,rSKxyhtv;RJvb2ϝҺ[(OLx^$5h'gvVvhfUh=;\m#’ ㊱|w֒!Y:R 8$ 2Vҫe J~*m@(3GAB.sOXB=NԭqzBz ! QJLNɩO>.n|I"+%AߌzMɫGZҙ쨀OEx?ӕAUyYKA涒 OhwKJꆭ{a *~iKiBSҲ M&i,RXh[+@=Vv#<ˣPWAQih~J[IQ%)p FѮm[\DD!2 <'Sĕ׵#d m'dsxW!a 'ڮN= ))_}n跶VZJ:dUb.il uOY[TTMnP5ZCmkYV* w-#`G]q\6aTփ=MOj~)$mh- {ܥF~emp}T7GL^fxNU$XxH-+6mqh4$!(*BYD#'WN [WX| Tͩa)тGgYQN{j?Uɜ5vpW܋cd̹-$|;1ʓdtp/6YGE(`W *r;mCVѵ ߕ4$YV /DLy`7tj+r4?+K!ڜPY/q_GF^#0.q-ۭ@yр`~+<Γ2[KZ=M: [Kޒnܖ&EEaIqLFJeTd4R. 4ëoݦB5sBQ*W*d"Gh,Rw}%ĝdJخ'J+!Dʕ+TRN*VRyyth ԩX>@ڀ7~W[?JJߠRJ*t