research MEGA PROTAC, MEGA DOCK-based PROTAC mediated ternary complex formation pipeline with sequential filtering and rank aggregation
MEGA PROTAC improves prediction and ranking of protein complexes better than existing methods.
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research RNA sequence analysis of dermal papilla cells’ regeneration in 3D culture
3D culture helps maintain hair growth cells better than 2D culture and identifies key genes for potential hair loss treatments.
research Overexpression of hypoxia-inducible factor-1α in hidradenitis suppurativa: the link between deviated immunity and metabolism
Increased HIF-1α is linked to the inflammation and severity of hidradenitis suppurativa, suggesting treatments that lower HIF-1α could help.
research Impact of Clinical Response on Different Approved Doses in Japan and the United States
Different drug doses approved in Japan and the U.S. are not mainly due to different clinical responses, and ethnic factors should be considered in setting drug doses.
research Angelica gigas Nakai (Korean Dang-gui) Root Alcoholic Extracts in Health Promotion and Disease Therapy – active Phytochemicals and In Vivo Molecular Targets
Angelica gigas Nakai root extracts may help with cancer, pain, memory loss, and metabolic issues.
research Analysis of blood parameters and clinical features in women with pilonidal sinus disease: Is there a link between the disease and polycystic ovary syndrome?
No clear link between pilonidal sinus disease and polycystic ovary syndrome was found.
research The SYP123-VAMP727 SNARE complex is involved in the delivery of inner cell wall components to the root hair shank in Arabidopsis
The SYP123-VAMP727 complex is important for transporting materials that harden the root hair shank in Arabidopsis.
research Dutasteride: A Review of its Use in the Management of Prostate Disorders
Dutasteride is effective for treating prostate enlargement and reducing related surgery risk, but is not approved for preventing prostate cancer.
research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
research TOWARDS NOVEL DIAGNOSTIC MARKER BASED ON BREAST ARTERIAL CALCIFICATIONS
Detecting early breast arterial calcifications can help assess cardiovascular disease risk.
research Bolu Yöresindeki Multipl Skleroz Hastalarında Görülen Dermatolojik Bulgular
MS patients often have skin issues, so regular skin checks are important.
research NUMERICAL DESCRIPTOR COMPUTATION OF ALOPECIA DRUGS USING COM – POLYNOMIAL
Numerical methods help analyze alopecia drugs' properties effectively.
research Comparison of Linear Regression, Decision Tree Regression, and Random Forest Regression Algorithms in Predicting Baldness Risk
Random Forest Regression is best for predicting baldness risk.
research Perbandingan Kadar Transforming Growth Factor-Beta 1 pada Platelet Rich Plasma dengan Metode Pure dan Buffy Coat pada Populasi Individu Sehat
The buffy coat method yields higher TGF-β1 levels in PRP, especially in males.
research A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
Adding obesity data to machine learning models improves heart disease prediction accuracy.
research Mesenchymal stem cell-derived protein extract induces periodontal regeneration
MSC-protein helps regenerate gum tissue and bone.
research ADVANCES IN FUNCTIONAL NEUROSURGERY – MACHINE LEARNING, NEURAL ENGINEERING AND ROBOTICS IN TREATMENT OF NEURODEGENERATIVE DISORDERS
AI and robotics are improving treatment and monitoring of neurodegenerative disorders like Parkinson's.
research CECHY KLINICZNE PRZEBIEGU CHORÓB UKŁADU ODDECHOWEGO WYWOŁANYCH PRZEZ SARS-COV-2 U DZIECI Z ZACHODNICH REGIONÓW BIAŁORUSI
Urban children in western Belarus had more severe COVID-19 cases in 2021.
research A NEW GENERATION OF MARKERS FOR CANCER DETECTION AND DRUG TRANSPORT
New markers can detect tumors, aid drug delivery, and treat cancer effectively and safely.
research HOW AI CAN SUPPORT FOLLICULAR LYMPHOMA DIAGNOSIS
AI can help diagnose Follicular Lymphoma by accurately identifying specific cell types.
research POSTĘP W DIAGNOZIE I LECZENIU STWARDNIENIA ROZSIANEGO
AI and advanced technologies are improving medical diagnostics and treatments.
research WPŁYW INFLUENCERÓW NA KOMUNIKACJĘ MEDYCZNĄ: DOBRE I ZŁE STRONY NOWEGO FENOMENU
Influencers impact medical communication both positively and negatively.
research EX VIVO DRUG SENSITIVITY EVALUATION OF A RARE ZMYM2::FGFR1+ LEUKEMIA PATIENT
Pemigatinib may be effective for treating ZMYM2::FGFR1 fusion-positive leukemia.
research PŁYNY- NIE ZA DUŻO, NIE ZA MAŁO, LECZ W SAM RAZ
AI and new therapies show promise in medicine, especially for cancer and regenerative treatments.
research BRAIN HEALTH SERVICES – A NEW APPROACH TO PREVENTING ALZHEIMER’S DISEASE
Structured prevention strategies and Brain Health Clinics can help prevent Alzheimer's.
research MEDYCYNA LOTNICZA I KOSMICZNA, ROLA LEKARZA I WYZWANIA DŁUGOTERMINOWYCH LOTÓW W KOSMOS
Doctors ensure the health and safety of pilots and astronauts in challenging aviation and space environments.
research DEEP REINFORCEMENT LEARNING FOR SCALABLE CONTROL OF BOOLEAN MODELS IN THE CONTEXT OF CELLULAR REPROGRAMMING
pbn-STAC effectively finds strategies for cellular reprogramming using deep reinforcement learning.
research ALZHEIMER DISEASE: WHAT’S NEW, WHAT’S TRUE?
Alzheimer's may be treated by targeting gut bacteria and inflammation.
research OVERCOMING THE BARRIERS TO EFFECTIVE DRUG DELIVERY TO THE BRAIN
New methods are being developed to improve drug delivery to the brain.
research KOMÓRKI VSELs KLUCZEM DO DŁUGOWIECZNOŚCI
VSELs may hold the key to longer life through regenerative therapies.