Every year, 300,000 new cases of leukemia are diagnosed, which is 2.8 percent of all new cancer cases, and the prevalence is rising.

People of all ages, including children …

Throughout history, artificial intelligence has been a hot topic: A computer algorithm "learns" by being taught examples of What is "right" and what is "wrong." But neurons are the brain's cells, not …

A venture-backed startup called Stability AI, behind the text-to-image AI Stable system Diffusion, is funding a broad effort to use AI in biotech.

Under the name OpenBioML, its first …

The researchers say it would be possible to develop better treatments and diagnostics if de-identified patient health data were readily available.

Artificial intelligence algorithms …

There are several chronic diseases, such as amyotrophic lateral sclerosis (ALS, or Lou Gehrig's disease), Alzheimer's disease, and Parkinson's disease, each of which presents with a wide range of symptoms, worsens at …

A new study by Forrester Consulting commissioned by Capital One explores the challenges, concerns, and opportunities companies face when leveraging machine learning (ML) to improve business performance.

A study …

Oracle has expanded its Fusion Cloud offerings to support healthcare organizations in delivering improved patient care and experiences.

Even after years of advancements, many hospitals and clinics still struggle …

TECVICO International Company has recently opened its branches in Germany, Iran, and India. People from these countries who cooperate with TECVICO can make all their payments and receipts in the …

The TECVICO research projects are free now. This is an opportunity that doesn't exist before. The TECVICO management team have decided to delete the responsibility fee from some research project. 

TECVICO set up a German branch to expand its operations worldwide. This branch has been set up while the Iranian and Canadian branches of the company are operating.

TECVICO …

Every year nuclear medicine physicians, radiologists, cardiologists, pharmacists, scientists, lab professionals, and technologists join at the SNMMI 2022 Annual Meeting to discuss the latest research and technology in nuclear medicine and molecular imaging.

Registration for the third edition of HECKTOR challenge for the year 2022 will begin soon. On this occasion, TECVICO invites experts active in relevant fields to join TECVICO and participate in the challenge …

HECKTOR Challenge is a prominent scientific and research call in the field of imaging head and neck tumors held by MICCAI.

This challenge has been held twice so far, and …

HECKTOR Challenge is a prominent scientific and research call in the field of imaging head and neck tumors held by MICCAI.

This challenge has been held twice so far, and …

Following its policy of industry-university cooperation and creating and expanding the horizons of understanding between state-of-art technology, data science, and research, TECVICO signs another agreement with Azad University.
TECVICO research and projects support …

The tumor, node, metastasis (TNM) staging system enables clinicians to describe the spread of lung cancer in a specific manner to assist with the assessment of disease status, prognosis, and management. This study aims …

Multi-Modality Fusion Coupled with Deep Learning for Improved Outcome Prediction in Head and Neck Cancer

Multi-level multi-modality fusion radiomics is a promising technique with the potential to improve the prognostication of cancer. We …

Advanced Survival Prediction in Head and Neck Cancer Using Hybrid Machine Learning Systems and Radiomics Features

These efforts aimed to employ hybrid machine learning systems (HMLS) incorporating multiple dimensionality reduction as well as …

Robust identification of Parkinson's disease subtypes using radiomics and hybrid machine learning

Our reproducible study on "Robust identification of Parkinson's disease subtypes using radiomics and hybrid machine learning " led by Mohammad R. …

Multitask Outcome Prediction using Hybrid Machine Learning and PET-CT Fusion Radiomics

Our effort on "Multitask Outcome Prediction using Hybrid Machine Learning and PET-CT Fusion Radiomics " in Head and Neck Cancer led by …

MachineLearning Methods & Ensemble Voting for Identification of #Parkinson’s Disease Subtypes

Our effort on "Hybrid MachineLearning Methods & Ensemble Voting for Identification of Parkinson’s Disease Subtypes" led by Mohammad R. Salmanpour; the most …

January 7, 2022: TECVICO team has an industrial project completed and present named Developing SERA package and making it as a GUI application. TECVICO team aims to develop the SERA, an open infrastructure software …

Do DTI features add value to clinical and SPECT imaging features for outcome prediction in Parkinson’s disease

May 2021: TECVICO, the paper named Do DTI features add value to clinical and SPECT imaging …

Longitudinal Clustering Analysis and Prediction of Parkinson’s Disease Progression

May 2021: TECVICO, the paper named Longitudinal Clustering Analysis and Prediction of Parkinson’s Disease Progression published in the Journal of Nuclear Medicine (JNM). For …

Feature selection and machine learning methods for optimal identification and prediction of subtypes in Parkinson's disease

July 2021: TECVICO, the paper named Feature selection and machine learning methods for optimal identification and prediction …

May, 2021: TECVICO, the paper named Longitudinal Clustering Analysis and Prediction of Parkinson’s Disease Progression published in the Journal of Nuclear Medicine (JNM). For more information you can click on the link below. Authors: Abdollah …

2021: TECVICO team participated in the HECKTOR 2021 challenge. We had two active teams, namely, Qurit_Tecvico and Tecvico_Corp_Family teams, in the HECKTOR 2021 challenge. Each team worked on three tasks as i) first task …

2021: TECVICO team participated in the KAGGLE challenge named SIIM-FISABIO-RSNA COVID-19 Detection. The team achieved position 235 among 1305 teams. For more information, you can click on the link below.