Dhruva Biswas, MD/PhD
Associate Research ScientistDownloadHi-Res Photo
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Contact Info
Cardiovascular Medicine
300 George St
New Haven, Connecticut 06510
United States
Publications Overview
- 36 Publications
- 720 Citations
- 1 Yale Co-Author
Cardiovascular Data Science laboratory
Contact Info
Cardiovascular Medicine
300 George St
New Haven, Connecticut 06510
United States
Publications Overview
- 36 Publications
- 720 Citations
- 1 Yale Co-Author
Cardiovascular Data Science laboratory
Contact Info
Cardiovascular Medicine
300 George St
New Haven, Connecticut 06510
United States
Publications Overview
- 36 Publications
- 720 Citations
- 1 Yale Co-Author
Cardiovascular Data Science laboratory
About
Titles
Associate Research Scientist
Biography
Dr. Biswas is a Clinician-Data Scientist at the Cardiovascular Data Science (CarDS) Lab and an Associate Research Scientist at the Yale School of Medicine. His research aims to integrate AI-driven insights into clinical practice. This includes developing digital and molecular biomarkers to identify high-risk patients who are currently overlooked, evaluating the clinical contexts in which algorithm performance may be improved, and depicting the underlying pathophysiological mechanisms.
Dr. Biswas has authored publications in several peer-reviewed journals, including first author articles in Nature Medicine and Nature Cancer. His work has been featured in media outlets including The Times, the Independent, and Yahoo News. He has been recognized as ‘at the forefront of medical research’ by Nature Medicine.
Dr. Biswas started his medical training at the University of Cambridge, taking a MA in Neuroscience. Next, he joined the MB/PhD programme at University College London, undertaking PhD research between UCL Cancer Institute and the Francis Crick Institute, and graduating with PhD and MBBS degrees. His thesis work was recognized with international prizes, and he was also recognized as a Francis Crick Institute Translation Fellow for acting as a role model in the translational medicine community. Dr. Biswas then secured an Academic Foundation training position in the Cardiology stream at King’s College London. During his two-year medical internship, he also worked as a Postdoctoral Fellow at University College London.
In addition to his research and clinical duties, Dr. Biswas is passionate about mentorship and community engagement. He has supervised several MSc students, all of whom achieved distinction grades, and with three nominated for the Dean's Research Prize for the top project mark in their respective cohorts. He is also committed to patient and public involvement, including being involved with the South London structural heart team looking at equity of access to life-prolonging procedures.
Departments & Organizations
Education & Training
- Postdoctoral Fellow
- University College London
- Translation Fellow
- The Francis Crick Institute
- Academic Foundation Doctor
- King's College London
- MD/PhD
- University College London (2022)
- PhD
- UCL Cancer Institute & The Francis Crick Institute, Molecular Portraits of Cancer Evolution and Ecology (2020)
- MA
- University of Cambridge, Medical Sciences Tripos (Specialization in Physiology, Development & Neuroscience) (2015)
Research
Overview
Medical Research Interests
Artificial Intelligence; Cardiology; Quality of Health Care
ORCID
0000-0001-9141-5188- View Lab Website
Cardiovascular Data Science laboratory
Research at a Glance
Publications Timeline
A big-picture view of Dhruva Biswas's research output by year.
Research Interests
Research topics Dhruva Biswas is interested in exploring.
36Publications
720Citations
Artificial Intelligence
Publications
Featured Publications
A clonal expression biomarker associates with lung cancer mortality
Biswas D, Birkbak N, Rosenthal R, Hiley C, Lim E, Papp K, Boeing S, Krzystanek M, Djureinovic D, La Fleur L, Greco M, Döme B, Fillinger J, Brunnström H, Wu Y, Moore D, Skrzypski M, Abbosh C, Litchfield K, Al Bakir M, Watkins T, Veeriah S, Wilson G, Jamal-Hanjani M, Moldvay J, Botling J, Chinnaiyan A, Micke P, Hackshaw A, Bartek J, Csabai I, Szallasi Z, Herrero J, McGranahan N, Swanton C. A clonal expression biomarker associates with lung cancer mortality. Nature Medicine 2019, 25: 1540-1548. PMID: 31591602, PMCID: PMC6984959, DOI: 10.1038/s41591-019-0595-z.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsNon-small cell lung cancerClinicopathological risk factorsCell lung cancerLung cancer mortalityPrognostic gene expression signaturesCancer cell proliferationGene expression signaturesCancer mortalityLung cancerRisk factorsExpression-based biomarkersCopy number gainsDisease subtypesClinical descriptorsTranscriptomic biomarkersIndividual tumorsCancer typesDiagnostic precisionMolecular biomarkersExpression signaturesCell proliferationDNA copy number gainsBiomarkersPatientsIntratumor heterogeneityA local human Vδ1 T cell population is associated with survival in nonsmall-cell lung cancer
Wu Y, Biswas D, Usaite I, Angelova M, Boeing S, Karasaki T, Veeriah S, Czyzewska-Khan J, Morton C, Joseph M, Hessey S, Reading J, Georgiou A, Al-Bakir M, McGranahan N, Jamal-Hanjani M, Hackshaw A, Quezada S, Hayday A, Swanton C. A local human Vδ1 T cell population is associated with survival in nonsmall-cell lung cancer. Nature Cancer 2022, 3: 696-709. PMID: 35637401, PMCID: PMC9236901, DOI: 10.1038/s43018-022-00376-z.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsT cell populationsT cellsLung tissueLung cancerCD8+ T cellsNonsmall-cell lung cancerNonsmall cell lung cancerEffector memory phenotypeT cell compartmentCell lung cancerAssociated with survivalNonmalignant lung tissuesStem-like featuresNontumor lung tissuesT cell biologyHuman lung tissueImmunotherapeutic strategiesMemory phenotypeNatural killerLung tumorsTissue-residentPost-surgeryResident memoryMurine tissuesTumorRace- and Ethnicity-Related Differences in Heart Failure With Preserved Ejection Fraction Using Natural Language Processing
Brown S, Biswas D, Wu J, Ryan M, Bernstein B, Fairhurst N, Kaye G, Baral R, Cannata A, Searle T, Melikian N, Sado D, Lüscher T, Teo J, Dobson R, Bromage D, McDonagh T, Vazir A, Shah A, O’Gallagher K. Race- and Ethnicity-Related Differences in Heart Failure With Preserved Ejection Fraction Using Natural Language Processing. JACC Advances 2024, 3: 101064. PMID: 39050815, PMCID: PMC11268103, DOI: 10.1016/j.jacadv.2024.101064.Peer-Reviewed Original ResearchCitationsAltmetricConceptsBlack patientsPro-B-type natriuretic peptide levelsN-terminal pro-B-type natriuretic peptide levelsEuropean Society of Cardiology criteriaDiagnosis of HFpEFNatriuretic peptide levelsHeterogeneous clinical syndromeEuropean SocietyCardiology criteriaHFpEF diagnosisClinical presentationFPEF scoreAsian patientsPatient demographicsEthnicity-related differencesMetabolic comorbiditiesAtrial fibrillationHeart failureHFpEFDiagnostic performancePeptide levelsWhite patientsClinical syndromePatientsQuantify health inequalitiesThe future of liquid biopsy
Biswas D, Ganeshalingam J, Wan J. The future of liquid biopsy. The Lancet Oncology 2020, 21: e550. PMID: 33271107, DOI: 10.1016/s1470-2045(20)30687-2.Peer-Reviewed Original ResearchCitationsAltmetricProspective validation of ORACLE, a clonal expression biomarker associated with survival of patients with lung adenocarcinoma.
Biswas D, Liu YH, Herrero J, Wu Y, Moore DA, Karasaki T, Grigoriadis K, Lu WT, Veeriah S, Naceur-Lombardelli C, Magno N, Ward S, Frankell AM, Hill MS, Colliver E, de Carné Trécesson S, East P, Malhi A, Snell DM, O'Neill O, Leonce D, Mattsson J, Lindberg A, Micke P, Moldvay J, Megyesfalvi Z, Dome B, Fillinger J, Nicod J, Downward J, Szallasi Z, TRACERx Consortium, Hackshaw A, Jamal-Hanjani M, Kanu N, Birkbak NJ, Swanton C. Prospective validation of ORACLE, a clonal expression biomarker associated with survival of patients with lung adenocarcinoma. Nat Cancer 2025 PMID: 39789179, DOI: 10.1038/s43018-024-00883-1.Peer-Reviewed Original Research
2024
Cancer cell – Fibroblast crosstalk via HB-EGF, EGFR, and MAPK signaling promotes the expression of macrophage chemo-attractants in squamous cell carcinoma
Giangreco G, Rullan A, Naito Y, Biswas D, Liu Y, Hooper S, Nenclares P, Bhide S, Chon U Cheang M, Chakravarty P, Hirata E, Swanton C, Melcher A, Harrington K, Sahai E. Cancer cell – Fibroblast crosstalk via HB-EGF, EGFR, and MAPK signaling promotes the expression of macrophage chemo-attractants in squamous cell carcinoma. IScience 2024, 27: 110635. PMID: 39262776, PMCID: PMC11387794, DOI: 10.1016/j.isci.2024.110635.Peer-Reviewed Original ResearchConceptsTumor microenvironmentSquamous cell carcinoma cohortCancer cellsMacrophage chemo-attractantsSquamous cell carcinomaTumor-stroma crosstalkRecruitment of macrophagesExpression of CSF2Prognostic significanceCarcinoma cohortCell carcinomaPatient prognosisHB-EGFStromal fibroblastsCancer outcomesCancer progressionCancerMAPK signalingIndicator of signalingChemo-attractantsCellsFibroblastsCarcinomaExpressionEGFR134 Race and ethnicity-related differences in the diagnosis of heart failure with preserved ejection fraction using natural language processing
Brown S, Biswas D, Wu H, Ryan M, Bernstein B, Fairhurst N, Kaye G, Baral R, Cannata A, Searle T, Melikian N, Sado D, Lüscher T, Teo J, Dobson R, Bromage D, McDonagh T, Vazir A, Shah A, O’Gallagher K. 134 Race and ethnicity-related differences in the diagnosis of heart failure with preserved ejection fraction using natural language processing. 2024, a140-a141. DOI: 10.1136/heartjnl-2024-bcs.132.Peer-Reviewed Original ResearchConceptsArtificial intelligence methods for improved detection of undiagnosed heart failure with preserved ejection fraction
Wu J, Biswas D, Ryan M, Bernstein B, Rizvi M, Fairhurst N, Kaye G, Baral R, Searle T, Melikian N, Sado D, Lüscher T, Grocott‐Mason R, Carr‐White G, Teo J, Dobson R, Bromage D, McDonagh T, Shah A, O'Gallagher K. Artificial intelligence methods for improved detection of undiagnosed heart failure with preserved ejection fraction. European Journal Of Heart Failure 2024, 26: 302-310. PMID: 38152863, DOI: 10.1002/ejhf.3115.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsLeft ventricular ejection fractionDiagnosis of HFpEFEuropean Society of CardiologyHeart failureNatural language processingElectronic health recordsEuropean Society of Cardiology criteriaClinical diagnosis of HFEuropean Society of Cardiology diagnostic criteriaDiagnostic criteriaVentricular ejection fractionRetrospective cohort studyDiagnosis of HFSociety of CardiologyClinician-assigned diagnosisConsecutive patientsHFpEF patientsEjection fractionElectronic health record dataAcute cardiovascular eventsExpert clinical reviewNatural language processing methodsNatural language processing pipelineHFpEFCardiovascular eventsPD-1 defines a distinct, functional, tissue-adapted state in Vδ1+ T cells with implications for cancer immunotherapy
Davies D, Kamdar S, Woolf R, Zlatareva I, Iannitto M, Morton C, Haque Y, Martin H, Biswas D, Ndagire S, Munonyara M, Gillett C, O’Neill O, Nussbaumer O, Hayday A, Wu Y. PD-1 defines a distinct, functional, tissue-adapted state in Vδ1+ T cells with implications for cancer immunotherapy. Nature Cancer 2024, 5: 420-432. PMID: 38172341, PMCID: PMC10965442, DOI: 10.1038/s43018-023-00690-0.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsCheckpoint inhibitionPD-1T cellsProgrammed cell death protein 1Cell death protein 1PD-1 expressionResponse to TCR signalingPD-1 engagementT cell recognitionCancer immunotherapyTCR signalingTranscriptomic programsProtein 1CancerFunctional relevanceCellsImmunotherapyNeoantigensMelanomaPatientsOncology
2023
Using natural language processing to generate a large-scale database of aortic stenosis with long-term follow-up: the CASPER (cogstack aortic stenosis patient electronic registry) database
Wu J, Biswas D, Seale T, Bean D, Fairhurst N, Kaye G, Dobson R, Chowienczyk P, Shah A, O'gallagher K. Using natural language processing to generate a large-scale database of aortic stenosis with long-term follow-up: the CASPER (cogstack aortic stenosis patient electronic registry) database. European Heart Journal 2023, 44: ehad655.2952. DOI: 10.1093/eurheartj/ehad655.2952.Peer-Reviewed Original ResearchAltmetricConceptsNatural language processingElectronic heath recordsLanguage processingData pipelineNatural language processing toolkitRetrieval systemProcessing toolkitSNOMED termsClinical notesAutomated detectionRandomised controlled trialsManual validationLong-term mortality dataCohort of AS patientsMortality dataData sourcesSocial deprivationPatient trajectoriesInfluence of ethnicityControlled trialsPatient demographic dataRandomised trialsExtract dataDatabaseDemographic data
Academic Achievements & Community Involvement
honor Medical Leadership Award for outstanding contribution
Regional AwardKing’s College HospitalDetails07/01/2024United Kingdomhonor Isaac Schapera Award for research into problems relating to the causes and cures of diseases
Regional AwardUniversity of London medical schoolsDetails05/01/2024United Kingdomhonor Translation Fellow for helping to create an outstanding translation community and acting as a role model for others
Regional AwardThe Francis Crick InstituteDetails12/01/2021United Kingdomhonor Sir David Cooksey Translation Prize Winner for exceptional contribution to the COVID-19 diagnostic testing pipeline
Regional AwardThe Francis Crick InstituteDetails11/01/2020United Kingdomhonor Astor Foundation travel bursary
Regional AwardUniversity College LondonDetails08/01/2019United Kingdom
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Mailing Address
Cardiovascular Medicine
300 George St
New Haven, Connecticut 06510
United States
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195 Church Street
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New Haven, CT 06510