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Adv."],"published-print":{"date-parts":[[2026,7,31]]},"abstract":"<jats:p>\n                    Conservative treatment of scoliosis relies on physiotherapy and bracing, yet both approaches lack tools for quantitative, real-time monitoring of corrective forces. Here, we introduce a hemispherical latitude-gradient (HS-LG) sensor as a previously unknown sensing paradigm for soft, curved-body interfaces, using scoliosis as a clinical exemplar. Leveraging a nonzero Gaussian curvature (\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\" overflow=\"scroll\">\n                        <mml:mrow>\n                          <mml:msub>\n                            <mml:mi>K<\/mml:mi>\n                            <mml:mi mathvariant=\"normal\">G<\/mml:mi>\n                          <\/mml:msub>\n                          <mml:mo>\u2260<\/mml:mo>\n                          <mml:mn>0<\/mml:mn>\n                        <\/mml:mrow>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    ) geometry, the device acts as a spatiotemporal mechanical filter, converting normal pressure into in-plane tensile forces to overcome shear and stress artifacts limiting conventional sensors. Integrated into a wireless platform, the HS-LG sensor enables immediate visualization of spatiotemporal pressure dynamics during therapy. In physiotherapy, bilateral deployment established the first quantitative, closed-loop Schroth regimen. Real-time visual feedback amplified targeted asymmetric breathing by \u223c40% and decoupled nontargeted regional effort, transforming subjective instruction into data-driven neuromuscular internalization. In bracing, embedded sensors mapped pressures during daily activities, uncovering highly dynamic, posture-specific force redistributions, including transient pressure gradient reversals during ambulation, that challenge conventional static orthotic paradigms. Furthermore, age (\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\" overflow=\"scroll\">\n                        <mml:mrow>\n                          <mml:mi>r<\/mml:mi>\n                          <mml:mo>=<\/mml:mo>\n                          <mml:mn>0.738<\/mml:mn>\n                        <\/mml:mrow>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    ) and body mass index (BMI;\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\" overflow=\"scroll\">\n                        <mml:mrow>\n                          <mml:mi>r<\/mml:mi>\n                          <mml:mo>=<\/mml:mo>\n                          <mml:mn>0.733<\/mml:mn>\n                        <\/mml:mrow>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    ) emerged as strong predictors of daily wear compliance in the lumbar cohort, while BMI consistently drove interfacial mechanical loading across both spinal regions (lumbar\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\" overflow=\"scroll\">\n                        <mml:mrow>\n                          <mml:mi>r<\/mml:mi>\n                          <mml:mo>=<\/mml:mo>\n                          <mml:mn>0.61<\/mml:mn>\n                        <\/mml:mrow>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    ; thoracic\n                    <jats:inline-formula>\n                      <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"inline\" overflow=\"scroll\">\n                        <mml:mrow>\n                          <mml:mi>r<\/mml:mi>\n                          <mml:mo>=<\/mml:mo>\n                          <mml:mn>0.77<\/mml:mn>\n                        <\/mml:mrow>\n                      <\/mml:math>\n                    <\/jats:inline-formula>\n                    ). Together, these results establish the HS-LG sensor design as a versatile, patient-ready platform that links geometry-driven sensing design to personalized, data-informed scoliosis management, while broadly advancing the development of wearable mechanosensing technologies for soft, curved biological surfaces.\n                  <\/jats:p>","DOI":"10.1126\/sciadv.aeh1421","type":"journal-article","created":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T17:58:34Z","timestamp":1785520714000},"update-policy":"https:\/\/doi.org\/10.34133\/aaas_crossmark","source":"Crossref","is-referenced-by-count":3,"title":["A hemispherical latitude-gradient sensor for closed-loop monitoring and management of scoliosis correction"],"prefix":"10.1126","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2658-904X","authenticated-orcid":true,"given":"Hehua","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2000-5410","authenticated-orcid":true,"given":"Yuyu","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2660-5460","authenticated-orcid":true,"given":"Xinxin","family":"He","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China."},{"name":"Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0707-3280","authenticated-orcid":true,"given":"Haoyu","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2407-8980","authenticated-orcid":true,"given":"Jianpeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China."},{"name":"Hong Kong Centre for Cerebro-Cardiovascular Health Engineering, Hong Kong, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2310-0058","authenticated-orcid":true,"given":"Weibin","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China."},{"name":"Hong Kong Centre for Cerebro-Cardiovascular Health Engineering, Hong Kong, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, City 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